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40,010 | A Survey of Calibration Methods for Optical See-Through Head-Mounted
Displays | cs.HC | Optical see-through head-mounted displays (OST HMDs) are a major output
medium for Augmented Reality, which have seen significant growth in popularity
and usage among the general public due to the growing release of
consumer-oriented models, such as the Microsoft Hololens. Unlike Virtual
Reality headsets, OST HMDs inhe... | computer science |
40,011 | A Tutorial on Deep Learning for Music Information Retrieval | cs.CV | Following their success in Computer Vision and other areas, deep learning
techniques have recently become widely adopted in Music Information Retrieval
(MIR) research. However, the majority of works aim to adopt and assess methods
that have been shown to be effective in other domains, while there is still a
great need ... | computer science |
40,012 | Contrast Enhancement of Brightness-Distorted Images by Improved Adaptive
Gamma Correction | cs.MM | As an efficient image contrast enhancement (CE) tool, adaptive gamma
correction (AGC) was previously proposed by relating gamma parameter with
cumulative distribution function (CDF) of the pixel gray levels within an
image. ACG deals well with most dimmed images, but fails for globally bright
images and the dimmed imag... | computer science |
40,013 | A Computational Model of Afterimages based on Simultaneous and
Successive Contrasts | cs.CV | Negative afterimage appears in our vision when we shift our gaze from an over
stimulated original image to a new area with a uniform color. The colors of
negative afterimages differ from the old stimulating colors in the original
image when the color in the new area is either neutral or chromatic. The
interaction betwe... | computer science |
40,014 | Acceleration of Histogram-Based Contrast Enhancement via Selective
Downsampling | cs.MM | In this paper, we propose a general framework to accelerate the universal
histogram-based image contrast enhancement (CE) algorithms. Both spatial and
gray-level selective down- sampling of digital images are adopted to decrease
computational cost, while the visual quality of enhanced images is still
preserved and with... | computer science |
40,015 | Detection of Unauthorized IoT Devices Using Machine Learning Techniques | cs.CR | Security experts have demonstrated numerous risks imposed by Internet of
Things (IoT) devices on organizations. Due to the widespread adoption of such
devices, their diversity, standardization obstacles, and inherent mobility,
organizations require an intelligent mechanism capable of automatically
detecting suspicious ... | computer science |
40,016 | On Coordinate Minimization of Convex Piecewise-Affine Functions | math.OC | A popular class of algorithms to optimize the dual LP relaxation of the
discrete energy minimization problem (a.k.a.\ MAP inference in graphical models
or valued constraint satisfaction) are convergent message-passing algorithms,
such as max-sum diffusion, TRW-S, MPLP and SRMP. These algorithms are
successful in practi... | computer science |
40,017 | General Phase Regularized Reconstruction using Phase Cycling | cs.CV | Purpose: To develop a general phase regularized image reconstruction method,
with applications to partial Fourier imaging, water-fat imaging and flow
imaging.
Theory and Methods: The problem of enforcing phase constraints in
reconstruction was studied under a regularized inverse problem framework. A
general phase reg... | computer science |
40,018 | To Go or Not To Go? A Near Unsupervised Learning Approach For Robot
Navigation | cs.CV | It is important for robots to be able to decide whether they can go through a
space or not, as they navigate through a dynamic environment. This capability
can help them avoid injury or serious damage, e.g., as a result of running into
people and obstacles, getting stuck, or falling off an edge. To this end, we
propose... | computer science |
40,019 | Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted
Retinal Surgery | cs.CV | Computer vision and robotics are being increasingly applied in medical
interventions. Especially in interventions where extreme precision is required
they could make a difference. One such application is robot-assisted retinal
microsurgery. In recent works, such interventions are conducted under a
stereo-microscope, an... | computer science |
40,020 | Recognizing Objects In-the-wild: Where Do We Stand? | cs.RO | The ability to recognize objects is an essential skill for a robotic system
acting in human-populated environments. Despite decades of effort from the
robotic and vision research communities, robots are still missing good visual
perceptual systems, preventing the use of autonomous agents for real-world
applications. Th... | computer science |
40,021 | Learning a Fully Convolutional Network for Object Recognition using very
few Data | cs.CV | In recent years, data-driven methods have shown great success for extracting
information about the infrastruc- ture in urban areas. These algorithms are
usually trained on large datasets consisting of thousands or millions of
labeled training examples. While large datasets have been published regarding
cars, for cyclis... | computer science |
40,022 | Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire | cs.CV | Sparse representation learning has recently gained a great success in signal
and image processing, thanks to recent advances in dictionary learning. To this
end, the $\ell_0$-norm is often used to control the sparsity level.
Nevertheless, optimization problems based on the $\ell_0$-norm are non-convex
and NP-hard. For ... | computer science |
40,023 | AJILE Movement Prediction: Multimodal Deep Learning for Natural Human
Neural Recordings and Video | cs.CV | Developing useful interfaces between brains and machines is a grand challenge
of neuroengineering. An effective interface has the capacity to not only
interpret neural signals, but predict the intentions of the human to perform an
action in the near future; prediction is made even more challenging outside
well-controll... | computer science |
40,024 | A General Framework for Flexible Multi-Cue Photometric Point Cloud
Registration | cs.CV | The ability to build maps is a key functionality for the majority of mobile
robots. A central ingredient to most mapping systems is the registration or
alignment of the recorded sensor data. In this paper, we present a general
methodology for photometric registration that can deal with multiple different
cues. We provi... | computer science |
40,025 | Towards CNN map representation and compression for camera relocalisation | cs.CV | This paper presents a study on the use of Convolutional Neural Networks for
camera relocalisation and its application to map compression. We follow state
of the art visual relocalisation results and evaluate response to different
data inputs -- namely, depth, grayscale, RGB, spatial position and combinations
of these. ... | computer science |
40,026 | LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry
Estimation | cs.CV | This work proposes a novel deep network architecture to solve the camera
Ego-Motion estimation problem. A motion estimation network generally learns
features similar to Optical Flow (OF) fields starting from sequences of images.
This OF can be described by a lower dimensional latent space. Previous research
has shown h... | computer science |
40,027 | Fiber-Flux Diffusion Density for White Matter Tracts Analysis:
Application to Mild Anomalies Localization in Contact Sports Players | cs.CV | We present the concept of fiber-flux density for locally quantifying white
matter (WM) fiber bundles. By combining scalar diffusivity measures (e.g.,
fractional anisotropy) with fiber-flux measurements, we define new local
descriptors called Fiber-Flux Diffusion Density (FFDD) vectors. Applying each
descriptor througho... | computer science |
40,028 | Deep-Learnt Classification of Light Curves | cs.CV | Astronomy light curves are sparse, gappy, and heteroscedastic. As a result
standard time series methods regularly used for financial and similar datasets
are of little help and astronomers are usually left to their own instruments
and techniques to classify light curves. A common approach is to derive
statistical featu... | computer science |
40,029 | Ultimate SLAM? Combining Events, Images, and IMU for Robust Visual SLAM
in HDR and High Speed Scenarios | cs.CV | Event cameras are bio-inspired vision sensors that output pixel-level
brightness changes instead of standard intensity frames. These cameras do not
suffer from motion blur and have a very high dynamic range, which enables them
to provide reliable visual information during high speed motions or in scenes
characterized b... | computer science |
40,030 | Transfer learning from synthetic to real images using variational
autoencoders for robotic applications | cs.RO | Robotic learning in simulation environments provides a faster, more scalable,
and safer training methodology than learning directly with physical robots.
Also, synthesizing images in a simulation environment for collecting
large-scale image data is easy, whereas capturing camera images in the real
world is time consumi... | computer science |
40,031 | Real-time Semantic Segmentation of Crop and Weed for Precision
Agriculture Robots Leveraging Background Knowledge in CNNs | cs.CV | Precision farming robots, which target to reduce the amount of herbicides
that need to be brought out in the fields, must have the ability to identify
crops and weeds in real time to trigger weeding actions. In this paper, we
address the problem of CNN-based semantic segmentation of crop fields
separating sugar beet pl... | computer science |
40,032 | SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes | cs.CV | This paper presents SceneCut, a novel approach to jointly discover previously
unseen objects and non-object surfaces using a single RGB-D image. SceneCut's
joint reasoning over scene semantics and geometry allows a robot to detect and
segment object instances in complex scenes where modern deep learning-based
methods e... | computer science |
40,033 | Neural network identification of people hidden from view with a
single-pixel, single-photon detector | cs.CV | Light scattered from multiple surfaces can be used to retrieve information of
hidden environments. However, full three-dimensional retrieval of an object
hidden from view by a wall has only been achieved with scanning systems and
requires intensive computational processing of the retrieved data. Here we use
a non-scann... | computer science |
40,034 | AffordanceNet: An End-to-End Deep Learning Approach for Object
Affordance Detection | cs.CV | We propose AffordanceNet, a new deep learning approach to simultaneously
detect multiple objects and their affordances from RGB images. Our
AffordanceNet has two branches: an object detection branch to localize and
classify the object, and an affordance detection branch to assign each pixel in
the object to its most pr... | computer science |
40,035 | Semantic Segmentation from Limited Training Data | cs.RO | We present our approach for robotic perception in cluttered scenes that led
to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small
objects with shiny and transparent surfaces, the biggest challenge of the 2017
competition was the introduction of unseen categories. In contrast to
traditional approache... | computer science |
40,036 | STAR: Spatio-Temporal Altimeter Waveform Retracking using Sparse
Representation and Conditional Random Fields | cs.CV | Satellite radar altimetry is one of the most powerful techniques for
measuring sea surface height variations, with applications ranging from
operational oceanography to climate research. Over open oceans, altimeter
return waveforms generally correspond to the Brown model, and by inversion,
estimated shape parameters pr... | computer science |
40,037 | Real-time 3D Shape Instantiation from Single Fluoroscopy Projection for
Fenestrated Stent Graft Deployment | cs.RO | Robot-assisted deployment of fenestrated stent grafts in Fenestrated
Endovascular Aortic Repair (FEVAR) requires accurate geometrical alignment.
Currently, this process is guided by 2D fluoroscopy, which is uninformative and
error prone. In this paper, a real-time framework is proposed to instantiate
the 3D shape of a ... | computer science |
40,038 | Single-pixel imaging with Morlet wavelet correlated random patterns | eess.IV | Single-pixel imaging is an indirect imaging technique which utilizes
simplified optical hardware and advanced computational methods. It offers novel
solutions for hyper-spectral imaging, polarimetric imaging, three-dimensional
imaging, holographic imaging, optical encryption and imaging through scattering
media. The ma... | computer science |
40,039 | Measurement of amplitude of the moiré patterns in digital
autostereoscopic 3D display | eess.IV | The article presents the experimental measurements of the amplitude of the
moir\'e patterns in a digital autostereoscopic barrier-type 3D display across a
wide angular range with a small increment. The period and orientation of the
moir\'e patterns were also measured as functions of the angle. Simultaneous
branches are... | computer science |
40,040 | Elliptification of Rectangular Imagery | eess.IV | We present and discuss different algorithms for converting rectangular
imagery into elliptical regions. We will focus primarily on methods that use
mathematical mappings with explicit and invertible equations. We will also
present different post-processing effects that could be applied to enhance the
resulting images a... | computer science |
40,041 | Modeling Image Virality with Pairwise Spatial Transformer Networks | cs.CV | The study of virality and information diffusion online is a topic gaining
traction rapidly in the computational social sciences. Computer vision and
social network analysis research have also focused on understanding the impact
of content and information diffusion in making content viral, with prior
approaches not perf... | computer science |
40,042 | Rapid and Robust Automated Macroscopic Wood Identification System using
Smartphone with Macro-lens | cs.CY | Wood Identification has never been more important to serve the purpose of
global forest species protection and timber regulation. Macroscopic level wood
identification practiced by wood anatomists can identify wood up to genus
level. This is sufficient to serve as a frontline identification to fight
against illegal woo... | computer science |
40,043 | 3D Textured Model Encryption via 3D Lu Chaotic Mapping | cs.CV | In the coming Virtual/Augmented Reality (VR/AR) era, 3D contents will be
popularized just as images and videos today. The security and privacy of these
3D contents should be taken into consideration. 3D contents contain surface
models and solid models. The surface models include point clouds, meshes and
textured models... | computer science |
40,044 | DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
Convolutional Neural Networks | cs.CV | This paper studies monocular visual odometry (VO) problem. Most of existing
VO algorithms are developed under a standard pipeline including feature
extraction, feature matching, motion estimation, local optimisation, etc.
Although some of them have demonstrated superior performance, they usually need
to be carefully de... | computer science |
40,045 | LADAR-Based Mover Detection from Moving Vehicles | cs.RO | Detecting moving vehicles and people is crucial for safe operation of UGVs
but is challenging in cluttered, real world environments. We propose a
registration technique that enables objects to be robustly matched and tracked,
and hence movers to be detected even in high clutter. Range data are acquired
using a 2D scann... | computer science |
40,046 | Dynamic Reconfiguration of Mission Parameters in Underwater Human-Robot
Collaboration | cs.RO | This paper presents a real-time programming and parameter reconfiguration
method for autonomous underwater robots in human-robot collaborative tasks.
Using a set of intuitive and meaningful hand gestures, we develop a
syntactically simple framework that is computationally more efficient than a
complex, grammar-based ap... | computer science |
40,047 | Converting Your Thoughts to Texts: Enabling Brain Typing via Deep
Feature Learning of EEG Signals | cs.HC | An electroencephalography (EEG) based Brain Computer Interface (BCI) enables
people to communicate with the outside world by interpreting the EEG signals of
their brains to interact with devices such as wheelchairs and intelligent
robots. More specifically, motor imagery EEG (MI-EEG), which reflects a
subjects active i... | computer science |
40,048 | UAV and Service Robot Coordination for Indoor Object Search Tasks | cs.RO | Our CoBot robots have successfully performed a variety of service tasks in
our multi-building environment including accompanying people to meetings and
delivering objects to offices due to its navigation and localization
capabilities. However, they lack the capability to visually search over desks
and other confined lo... | computer science |
40,049 | Learning to Label Affordances from Simulated and Real Data | cs.CV | An autonomous robot should be able to evaluate the affordances that are
offered by a given situation. Here we address this problem by designing a
system that can densely predict affordances given only a single 2D RGB image.
This is achieved with a convolutional neural network (ResNet), which we combine
with refinement ... | computer science |
40,050 | Multi-Person Brain Activity Recognition via Comprehensive EEG Signal
Analysis | cs.HC | An electroencephalography (EEG) based brain activity recognition is a
fundamental field of study for a number of significant applications such as
intention prediction, appliance control, and neurological disease diagnosis in
smart home and smart healthcare domains. Existing techniques mostly focus on
binary brain activ... | computer science |
40,051 | Region-Based Image Retrieval Revisited | cs.MM | Region-based image retrieval (RBIR) technique is revisited. In early attempts
at RBIR in the late 90s, researchers found many ways to specify region-based
queries and spatial relationships; however, the way to characterize the
regions, such as by using color histograms, were very poor at that time. Here,
we revisit RBI... | computer science |
40,052 | Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose
and Feature Correspondence | cs.CV | Estimating the 6-DoF pose of a camera from a single image relative to a
pre-computed 3D point-set is an important task for many computer vision
applications. Perspective-n-Point (PnP) solvers are routinely used for camera
pose estimation, provided that a good quality set of 2D-3D feature
correspondences are known befor... | computer science |
40,053 | Exposure: A White-Box Photo Post-Processing Framework | cs.GR | Retouching can significantly elevate the visual appeal of photos, but many
casual photographers lack the expertise to do this well. To address this
problem, previous works have proposed automatic retouching systems based on
supervised learning from paired training images acquired before and after
manual editing. As it ... | computer science |
40,054 | Exact Camera Location Recovery by Least Unsquared Deviations | cs.CV | We establish exact recovery for the Least Unsquared Deviations (LUD)
algorithm of \"{O}zyesil and Singer. More precisely, we show that for
sufficiently many cameras with given corrupted pairwise directions, where both
camera locations and pairwise directions are generated by a special
probabilistic model, the LUD algor... | computer science |
40,055 | X-View: Graph-Based Semantic Multi-View Localization | cs.RO | Global registration of multi-view robot data is a challenging task.
Appearance-based global localization approaches often fail under drastic
view-point changes, as representations have limited view-point invariance. This
work is based on the idea that human-made environments contain rich semantics
which can be used to ... | computer science |
40,056 | 3DOF Pedestrian Trajectory Prediction Learned from Long-Term Autonomous
Mobile Robot Deployment Data | cs.CV | This paper presents a novel 3DOF pedestrian trajectory prediction approach
for autonomous mobile service robots. While most previously reported methods
are based on learning of 2D positions in monocular camera images, our approach
uses range-finder sensors to learn and predict 3DOF pose trajectories (i.e. 2D
position p... | computer science |
40,057 | Translating Videos to Commands for Robotic Manipulation with Deep
Recurrent Neural Networks | cs.RO | We present a new method to translate videos to commands for robotic
manipulation using Deep Recurrent Neural Networks (RNN). Our framework first
extracts deep features from the input video frames with a deep Convolutional
Neural Networks (CNN). Two RNN layers with an encoder-decoder architecture are
then used to encode... | computer science |
40,058 | Out-of-focus Blur: Image De-blurring | cs.CV | Image de-blurring is important in many cases of imaging a real scene or
object by a camera. This project focuses on de-blurring an image distorted by
an out-of-focus blur through a simulation study. A pseudo-inverse filter is
first explored but it fails because of severe noise amplification. Then
Tikhonov regularizatio... | computer science |
40,059 | Conditional Chromatic Filtering with Spatial Enhancement for Restoring
Pansharpened Images | cs.CV | Pansharpening techniques aim at fusing the structural detail of the
panchromatic and the color accuracy of the low-resolution spectral bands
provided by Earth observation satellites to produce a high-resolution
multispectral image. A large number of methods have been proposed in the
literature, most of which were devel... | computer science |
40,060 | PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor
Fusion and Hardware Co-Design | cs.RO | In this paper, we present the PerceptIn Robotics Vision System (PIRVS)
system, a visual-inertial computing hardware with embedded simultaneous
localization and mapping (SLAM) algorithm. The PIRVS hardware is equipped with
a multi-core processor, a global-shutter stereo camera, and an IMU with precise
hardware synchroni... | computer science |
40,061 | Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance
Grasping and Cross-Domain Image Matching | cs.RO | This paper presents a robotic pick-and-place system that is capable of
grasping and recognizing both known and novel objects in cluttered
environments. The key new feature of the system is that it handles a wide range
of object categories without needing any task-specific training data for novel
objects. To achieve thi... | computer science |
40,062 | BodyDigitizer: An Open Source Photogrammetry-based 3D Body Scanner | cs.CV | With the rising popularity of Augmented and Virtual Reality, there is a need
for representing humans as virtual avatars in various application domains
ranging from remote telepresence, games to medical applications. Besides
explicitly modelling 3D avatars, sensing approaches that create person-specific
avatars are beco... | computer science |
40,063 | Effective Image Differencing with ConvNets for Real-time Transient
Hunting | cs.CV | Large sky surveys are increasingly relying on image subtraction pipelines for
real-time (and archival) transient detection. In this process one has to
contend with varying PSF, small brightness variations in many sources, as well
as artifacts resulting from saturated stars, and, in general, matching errors.
Very often ... | computer science |
40,064 | FPGA based Parallelized Architecture of Efficient Graph based Image
Segmentation Algorithm | cs.CV | Efficient and real time segmentation of color images has a variety of
importance in many fields of computer vision such as image compression, medical
imaging, mapping and autonomous navigation. Being one of the most
computationally expensive operation, it is usually done through software imple-
mentation using high-per... | computer science |
40,065 | A Multiscale Patch Based Convolutional Network for Brain Tumor
Segmentation | cs.CV | This article presents a multiscale patch based convolutional neural network
for the automatic segmentation of brain tumors in multi-modality 3D MR images.
We use multiscale deep supervision and inputs to train a convolutional network.
We evaluate the effectiveness of the proposed approach on the BRATS 2017
segmentation... | computer science |
40,066 | Visual Servoing of Unmanned Surface Vehicle from Small Tethered Unmanned
Aerial Vehicle | cs.CV | This paper presents an algorithm and the implementation of a motor schema to
aid the visual localization subsystem of the ongoing EMILY project at Texas A
and M University. The EMILY project aims to team an Unmanned Surface Vehicle
(USV) with an Unmanned Aerial Vehicle (UAV) to augment the search and rescue of
marine c... | computer science |
40,067 | Algorithm guided outlining of 105 pancreatic cancer liver metastases in
Ultrasound | cs.CV | Manual segmentation of hepatic metastases in ultrasound images acquired from
patients suffering from pancreatic cancer is common practice. Semiautomatic
measurements promising assistance in this process are often assessed using a
small number of lesions performed by examiners who already know the algorithm.
In this wor... | computer science |
40,068 | Deep learning in remote sensing: a review | cs.CV | Standing at the paradigm shift towards data-intensive science, machine
learning techniques are becoming increasingly important. In particular, as a
major breakthrough in the field, deep learning has proven as an extremely
powerful tool in many fields. Shall we embrace deep learning as the key to all?
Or, should we resi... | computer science |
40,069 | A Review of Convolutional Neural Networks for Inverse Problems in
Imaging | eess.IV | In this survey paper, we review recent uses of convolution neural networks
(CNNs) to solve inverse problems in imaging. It has recently become feasible to
train deep CNNs on large databases of images, and they have shown outstanding
performance on object classification and segmentation tasks. Motivated by these
success... | computer science |
40,070 | Image retargeting via Beltrami representation | cs.CV | Image retargeting aims to resize an image to one with a prescribed aspect
ratio. Simple scaling inevitably introduces unnatural geometric distortions on
the important content of the image. In this paper, we propose a simple and yet
effective method to resize an image, which preserves the geometry of the
important conte... | computer science |
40,071 | Algebraic Image Processing | eess.IV | We propose an approach to image processing related to algebraic operators
acting in the space of images. In view of the interest in the applications in
optics and computer science, mathematical aspects of the paper have been
simplified as much as possible. Underlying theory, related to rigged Hilbert
spaces and Lie alg... | computer science |
40,072 | Solutions of Quadratic First-Order ODEs applied to Computer Vision
Problems | cs.NA | The article proves the existence of a maximum of two possible solutions to
the initial value problem composed by the planar-perspective equation and an
initial condition. This initial value problem has a geometric interpretation.
Solutions are curves than pass trough the initial condition which is a point of
the plane. | computer science |
40,073 | Fast, Accurate and Fully Parallelizable Digital Image Correlation | cs.CV | Digital image correlation (DIC) is a widely used optical metrology for
surface deformation measurements. DIC relies on nonlinear optimization method.
Thus an initial guess is quite important due to its influence on the converge
characteristics of the algorithm. In order to obtain a reliable, accurate
initial guess, a r... | computer science |
40,074 | Real time ridge orientation estimation for fingerprint images | cs.CV | Fingerprint verification is an important bio-metric technique for personal
identification. Most of the automatic verification systems are based on
matching of fingerprint minutiae. Extraction of minutiae is an essential
process which requires estimation of orientation of the lines in an image. Most
of the existing meth... | computer science |
40,075 | A multi-branch convolutional neural network for detecting double JPEG
compression | cs.CV | Detection of double JPEG compression is important to forensics analysis. A
few methods were proposed based on convolutional neural networks (CNNs). These
methods only accept inputs from pre-processed data, such as histogram features
and/or decompressed images. In this paper, we present a CNN solution by using
raw DCT (... | computer science |
40,076 | What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine
For Contextualized Scene Modeling | cs.CV | Scene models allow robots to reason about what is in the scene, what else
should be in it, and what should not be in it. In this paper, we propose a
hybrid Boltzmann Machine (BM) for scene modeling where relations between
objects are integrated. To be able to do that, we extend BM to include tri-way
edges between visib... | computer science |
40,077 | Generating Reflectance Curves from sRGB Triplets | cs.CV | The color sensation evoked by an object depends on both the spectral power
distribution of the illumination and the reflectance properties of the object
being illuminated. The color sensation can be characterized by three
color-space values, such as XYZ, RGB, HSV, L*a*b*, etc. It is straightforward
to compute the three... | computer science |
40,078 | Hardware design for binarization and thinning of fingerprint images | cs.CV | Two critical steps in fingerprint recognition are binarization and thinning
of the image. The need for real time processing motivates us to select local
adaptive thresholding approach for the binarization step. We introduce a new
hardware for this purpose based on pipeline architecture. We propose a formula
for selecti... | computer science |
40,079 | Compressed Sensing, ASBSR-method of image sampling and reconstruction
and the problem of digital image acquisition with the lowest possible
sampling rate | cs.CV | The problem of minimization of the number of measurements needed for digital
image acquisition and reconstruction with a given accuracy is addressed. Basics
of the sampling theory are outlined to show that the lower bound of signal
sampling rate sufficient for signal reconstruction with a given accuracy is
equal to the... | computer science |
40,080 | A New Coherence-Penalized Minimal Path Model with Application to Retinal
Vessel Centerline Delineation | cs.CG | In this paper, we propose a new minimal path model for minimally interactive
retinal vessel centerline extraction. The main contribution lies at the
construction of a novel coherence-penalized Riemannian metric in a lifted
space, dependently of the local geometry of tubularity and an external
scalar-valued reference fe... | computer science |
40,081 | Projective reconstruction in algebraic vision | math.AG | We discuss the geometry of rational maps from a projective space of an
arbitrary dimension to the product of projective spaces of lower dimensions
induced by linear projections. In particular, we give a purely
algebro-geometric proof of the projective reconstruction theorem by Hartley and
Schaffalitzky [HS09]. | computer science |
40,082 | Fusion of LiDAR and Camera Sensor Data for Environment Sensing in
Driverless Vehicles | cs.CV | Driverless vehicles operate by sensing and perceiving its surrounding
environment to make the accurate driving decisions. A combination of several
different sensors such as LiDAR, radar, ultrasound sensors and cameras are
utilized to sense the surrounding environment of driverless vehicles. The
heterogeneous sensors si... | computer science |
40,083 | 3D Object Discovery and Modeling Using Single RGB-D Images Containing
Multiple Object Instances | cs.CV | Unsupervised object modeling is important in robotics, especially for
handling a large set of objects. We present a method for unsupervised 3D object
discovery, reconstruction, and localization that exploits multiple instances of
an identical object contained in a single RGB-D image. The proposed method does
not rely o... | computer science |
40,084 | Analysis of feature detector and descriptor combinations with a
localization experiment for various performance metrics | cs.CV | The purpose of this study is to provide a detailed performance comparison of
feature detector/descriptor methods, particularly when their various
combinations are used for image-matching. The localization experiments of a
mobile robot in an indoor environment are presented as a case study. In these
experiments, 3090 qu... | computer science |
40,085 | Real-time marker-less multi-person 3D pose estimation in RGB-Depth
camera networks | cs.CV | This paper proposes a novel system to estimate and track the 3D poses of
multiple persons in calibrated RGB-Depth camera networks. The multi-view 3D
pose of each person is computed by a central node which receives the
single-view outcomes from each camera of the network. Each single-view outcome
is computed by using a ... | computer science |
40,086 | Deep Spectral Descriptors: Learning the point-wise correspondence metric
via Siamese deep neural networks | cs.CG | A robust and informative local shape descriptor plays an important role in
mesh registration. In this regard, spectral descriptors that are based on the
spectrum of the Laplace-Beltrami operator have gained a spotlight among the
researchers for the last decade due to their desirable properties, such as
isometry invaria... | computer science |
40,087 | A Line-Point Unified Solution to Relative Camera Pose Estimation | cs.RO | In this work we present a unified method of relative camera pose estimation
from points and lines correspondences. Given a set of 2D points and lines
correspondences in three views, of which two are known, a method has been
developed for estimating the camera pose of the third view. Novelty of this
algorithm is to comb... | computer science |
40,088 | Sistema de Navegação Autônomo Baseado em Visão Computacional | cs.RO | Autonomous robots are used as the tool to solve many kinds of problems, such
as environmental mapping and monitoring. Either for adverse conditions related
to the human presence or even for the need to reduce costs, it is certain that
many efforts have been made to develop robots with an increasingly high level
of auto... | computer science |
40,089 | Image Restoration by Iterative Denoising and Backward Projections | cs.CV | Inverse problems appear in many applications such as image deblurring and
inpainting. The common approach to address them is to design a specific
algorithm for each problem. The Plug-and-Play (P&P) framework, which has been
recently introduced, allows solving general inverse problems by leveraging the
impressive capabi... | computer science |
40,090 | Unsupervised Object Discovery and Segmentation of RGBD-images | cs.RO | In this paper we introduce a system for unsupervised object discovery and
segmentation of RGBD-images. The system models the sensor noise directly from
data, allowing accurate segmentation without sensor specific hand tuning of
measurement noise models making use of the recently introduced Statistical
Inlier Estimation... | computer science |
40,091 | Real-time Convolutional Neural Networks for Emotion and Gender
Classification | cs.CV | In this paper we propose an implement a general convolutional neural network
(CNN) building framework for designing real-time CNNs. We validate our models
by creating a real-time vision system which accomplishes the tasks of face
detection, gender classification and emotion classification simultaneously in
one blended ... | computer science |
40,092 | Image Segmentation and Classification for Sickle Cell Disease using
Deformable U-Net | cs.CV | Reliable cell segmentation and classification from biomedical images is a
crucial step for both scientific research and clinical practice. A major
challenge for more robust segmentation and classification methods is the large
variations in the size, shape and viewpoint of the cells, combining with the
low image quality... | computer science |
40,093 | Computational ghost imaging using deep learning | cs.CV | Computational ghost imaging (CGI) is a single-pixel imaging technique that
exploits the correlation between known random patterns and the measured
intensity of light transmitted (or reflected) by an object. Although CGI can
obtain two- or three- dimensional images with a single or a few bucket
detectors, the quality of... | computer science |
40,094 | Improving 6D Pose Estimation of Objects in Clutter via Physics-aware
Monte Carlo Tree Search | cs.RO | This work proposes a process for efficiently searching over combinations of
individual object 6D pose hypotheses in cluttered scenes, especially in cases
involving occlusions and objects resting on each other. The initial set of
candidate object poses is generated from state-of-the-art object detection and
global point... | computer science |
40,095 | Crop Planning using Stochastic Visual Optimization | cs.CV | As the world population increases and arable land decreases, it becomes vital
to improve the productivity of the agricultural land available. Given the
weather and soil properties, farmers need to take critical decisions such as
which seed variety to plant and in what proportion, in order to maximize
productivity. Thes... | computer science |
40,096 | Compressive Online Robust Principal Component Analysis with Optical Flow
for Video Foreground-Background Separation | cs.CV | In the context of online Robust Principle Component Analysis (RPCA) for the
video foreground-background separation, we propose a compressive online RPCA
with optical flow that separates recursively a sequence of frames into sparse
(foreground) and low-rank (background) components. Our method considers a small
set of me... | computer science |
40,097 | Biometrics-as-a-Service: A Framework to Promote Innovative Biometric
Recognition in the Cloud | cs.DC | Biometric recognition, or simply biometrics, is the use of biological
attributes such as face, fingerprints or iris in order to recognize an
individual in an automated manner. A key application of biometrics is
authentication; i.e., using said biological attributes to provide access by
verifying the claimed identity of... | computer science |
40,098 | A Generative Model for Volume Rendering | cs.GR | We present a technique to synthesize and analyze volume-rendered images using
generative models. We use the Generative Adversarial Network (GAN) framework to
compute a model from a large collection of volume renderings, conditioned on
(1) viewpoint and (2) transfer functions for opacity and color. Our approach
facilita... | computer science |
40,099 | Fine-grained Pattern Matching Over Streaming Time Series | cs.CV | Pattern matching of streaming time series with lower latency under limited
computing resource comes to a critical problem, especially as the growth of
Industry 4.0 and Industry Internet of Things. However, against traditional
single pattern matching problem, a pattern may contain multiple segments
representing differen... | computer science |
40,100 | Using the quantization error from Self-Organized Map (SOM) output for
detecting critical variability in large bodies of image time series in less
than a minute | cs.CY | The quantization error (QE) from SOM applied on time series of spatial
contrast images with variable relative amount of white and dark pixel contents,
as in monochromatic medical images or satellite images, is proven a reliable
indicator of potentially critical changes in image homogeneity. The QE is shown
to increase ... | computer science |
40,101 | On the Taut String Interpretation of the One-dimensional
Rudin-Osher-Fatemi Model: A New Proof, a Fundamental Estimate and Some
Applications | eess.IV | A new proof of the equivalence of the Taut String Algorithm and the
one-dimensional Rudin-Osher-Fatemi model is presented. Based on duality and the
projection theorem in Hilbert space, the proof is strictly elementary.
Existence and uniqueness of solutions to both denoising models follow as
by-products. The standard co... | computer science |
40,102 | High efficiency compression for object detection | eess.IV | Image and video compression has traditionally been tailored to human vision.
However, modern applications such as visual analytics and surveillance rely on
computers seeing and analyzing the images before (or instead of) humans. For
these applications, it is important to adjust compression to computer vision.
In this p... | computer science |
40,103 | Stochastic Variational Video Prediction | cs.CV | Predicting the future in real-world settings, particularly from raw sensory
observations such as images, is exceptionally challenging. Real-world events
can be stochastic and unpredictable, and the high dimensionality and complexity
of natural images requires the predictive model to build an intricate
understanding of ... | computer science |
40,104 | Optimal Resource Allocation in Distributed Broadband Wireless
Communication Systems | cs.NI | This paper is concerned with optimization of distributed broadband wireless
communication (BWC) systems. BWC systems contain a distributed antenna system
(DAS) connected to a base station with optical fiber. Distributed BWC systems
have been proposed as a solution to the power constraint problem in traditional
cellular... | computer science |
40,105 | PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
Cluttered Scenes | cs.CV | Estimating the 6D pose of known objects is important for robots to interact
with the real world. The problem is challenging due to the variety of objects
as well as the complexity of a scene caused by clutter and occlusions between
objects. In this work, we introduce PoseCNN, a new Convolutional Neural Network
for 6D o... | computer science |
40,106 | Learning deep features for source color laser printer identification
based on cascaded learning | cs.CV | Color laser printers have fast printing speed and high resolution, and
forgeries using color laser printers can cause significant harm to society. A
source printer identification technique can be employed as a countermeasure to
those forgeries. This paper presents a color laser printer identification
method based on ca... | computer science |
40,107 | Query-free Clothing Retrieval via Implicit Relevance Feedback | cs.CV | Image-based clothing retrieval is receiving increasing interest with the
growth of online shopping. In practice, users may often have a desired piece of
clothing in mind (e.g., either having seen it before on the street or requiring
certain specific clothing attributes) but may be unable to supply an image as a
query. ... | computer science |
40,108 | Intelligent Parameter Tuning in Optimization-based Iterative CT
Reconstruction via Deep Reinforcement Learning | cs.CV | A number of image-processing problems can be formulated as optimization
problems. The objective function typically contains several terms specifically
designed for different purposes. Parameters in front of these terms are used to
control the relative weights among them. It is of critical importance to tune
these param... | computer science |
40,109 | Recognizing Textures with Mobile Cameras for Pedestrian Safety
Applications | cs.CV | As smartphone rooted distractions become commonplace, the lack of compelling
safety measures has led to a rise in the number of injuries to distracted
walkers. Various solutions address this problem by sensing a pedestrian's
walking environment. Existing camera-based approaches have been largely limited
to obstacle det... | computer science |
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