Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
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39,810 | Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups | cs.CV | Sensor setups consisting of a combination of 3D range scanner lasers and
stereo vision systems are becoming a popular choice for on-board perception
systems in vehicles; however, the combined use of both sources of information
implies a tedious calibration process. We present a method for extrinsic
calibration of lidar... | computer science |
39,811 | Convolutional Sparse Representations with Gradient Penalties | cs.CV | While convolutional sparse representations enjoy a number of useful
properties, they have received limited attention for image reconstruction
problems. The present paper compares the performance of block-based and
convolutional sparse representations in the removal of Gaussian white noise.
While the usual formulation o... | computer science |
39,812 | Extracting urban impervious surface from GF-1 imagery using one-class
classifiers | cs.CV | Impervious surface area is a direct consequence of the urbanization, which
also plays an important role in urban planning and environmental management.
With the rapidly technical development of remote sensing, monitoring urban
impervious surface via high spatial resolution (HSR) images has attracted
unprecedented atten... | computer science |
39,813 | GeneGAN: Learning Object Transfiguration and Attribute Subspace from
Unpaired Data | cs.CV | Object Transfiguration replaces an object in an image with another object
from a second image. For example it can perform tasks like "putting exactly
those eyeglasses from image A on the nose of the person in image B". Usage of
exemplar images allows more precise specification of desired modifications and
improves the ... | computer science |
39,814 | A Correspondence Relaxation Approach for 3D Shape Reconstruction | cs.CV | This paper presents a new method for 3D shape reconstruction based on two
existing methods. A 3D reconstruction from a single photograph is introduced by
both papers: the first one uses a photograph and a set of existing 3D model to
generate the 3D object in the photograph, while the second one uses a
photograph and a ... | computer science |
39,815 | Automated Body Structure Extraction from Arbitrary 3D Mesh | cs.GR | This paper presents an automated method for 3D character skeleton extraction
that can be applied for generic 3D shapes. Our work is motivated by the
skeleton-based prior work on automatic rigging focused on skeleton extraction
and can automatically aligns the extracted structure to fit the 3D shape of the
given 3D mesh... | computer science |
39,816 | Picasso: A Modular Framework for Visualizing the Learning Process of
Neural Network Image Classifiers | cs.CV | Picasso is a free open-source (Eclipse Public License) web application
written in Python for rendering standard visualizations useful for analyzing
convolutional neural networks. Picasso ships with occlusion maps and saliency
maps, two visualizations which help reveal issues that evaluation metrics like
loss and accura... | computer science |
39,817 | Robust tracking of respiratory rate in high-dynamic range scenes using
mobile thermal imaging | cs.CV | The ability to monitor respiratory rate is extremely important for medical
treatment, healthcare and fitness sectors. In many situations, mobile methods,
which allow users to undertake every day activities, are required. However,
current monitoring systems can be obtrusive, requiring users to wear
respiration belts or ... | computer science |
39,818 | Snapshot Difference Imaging using Time-of-Flight Sensors | cs.CV | Computational photography encompasses a diversity of imaging techniques, but
one of the core operations performed by many of them is to compute image
differences. An intuitive approach to computing such differences is to capture
several images sequentially and then process them jointly. Usually, this
approach leads to ... | computer science |
39,819 | Building Emotional Machines: Recognizing Image Emotions through Deep
Neural Networks | cs.CV | An image is a very effective tool for conveying emotions. Many researchers
have investigated in computing the image emotions by using various features
extracted from images. In this paper, we focus on two high level features, the
object and the background, and assume that the semantic information of images
is a good cu... | computer science |
39,820 | Dynamics Based 3D Skeletal Hand Tracking | cs.CV | Tracking the full skeletal pose of the hands and fingers is a challenging
problem that has a plethora of applications for user interaction. Existing
techniques either require wearable hardware, add restrictions to user pose, or
require significant computation resources. This research explores a new
approach to tracking... | computer science |
39,821 | Ridiculously Fast Shot Boundary Detection with Fully Convolutional
Neural Networks | cs.CV | Shot boundary detection (SBD) is an important component of many video
analysis tasks, such as action recognition, video indexing, summarization and
editing. Previous work typically used a combination of low-level features like
color histograms, in conjunction with simple models such as SVMs. Instead, we
propose to lear... | computer science |
39,822 | Self-Supervised Siamese Learning on Stereo Image Pairs for Depth
Estimation in Robotic Surgery | cs.CV | Robotic surgery has become a powerful tool for performing minimally invasive
procedures, providing advantages in dexterity, precision, and 3D vision, over
traditional surgery. One popular robotic system is the da Vinci surgical
platform, which allows preoperative information to be incorporated into live
procedures usin... | computer science |
39,823 | Accelerating Discrete Wavelet Transforms on GPUs | cs.CV | The two-dimensional discrete wavelet transform has a huge number of
applications in image-processing techniques. Until now, several papers compared
the performance of such transform on graphics processing units (GPUs). However,
all of them only dealt with lifting and convolution computation schemes. In
this paper, we s... | computer science |
39,824 | Visual Servoing from Deep Neural Networks | cs.RO | We present a deep neural network-based method to perform high-precision,
robust and real-time 6 DOF visual servoing. The paper describes how to create a
dataset simulating various perturbations (occlusions and lighting conditions)
from a single real-world image of the scene. A convolutional neural network is
fine-tuned... | computer science |
39,825 | Cultural Diffusion and Trends in Facebook Photographs | cs.CV | Online social media is a social vehicle in which people share various moments
of their lives with their friends, such as playing sports, cooking dinner or
just taking a selfie for fun, via visual means, that is, photographs. Our study
takes a closer look at the popular visual concepts illustrating various
cultural life... | computer science |
39,826 | Plug-and-Play Unplugged: Optimization Free Reconstruction using
Consensus Equilibrium | cs.CV | Regularized inversion methods for image reconstruction are used widely due to
their tractability and their ability to combine physical sensor models with
useful regularity criteria. Such methods were used in the recently developed
Plug-and-Play prior method, which provides a framework to use advanced
denoisers as regul... | computer science |
39,827 | First-spike based visual categorization using reward-modulated STDP | cs.CV | Reinforcement learning (RL) has recently regained popularity, with major
achievements such as beating the European game of Go champion. Here, for the
first time, we show that RL can be used efficiently to train a spiking neural
network (SNN) to perform object recognition in natural images without using an
external clas... | computer science |
39,828 | Who Will Share My Image? Predicting the Content Diffusion Path in Online
Social Networks | cs.CV | Content popularity prediction has been extensively studied due to its
importance and interest for both users and hosts of social media sites like
Facebook, Instagram, Twitter, and Pinterest. However, existing work mainly
focuses on modeling popularity using a single metric such as the total number
of likes or shares. I... | computer science |
39,829 | Deep Matching and Validation Network -- An End-to-End Solution to
Constrained Image Splicing Localization and Detection | cs.CV | Image splicing is a very common image manipulation technique that is
sometimes used for malicious purposes. A splicing detec- tion and localization
algorithm usually takes an input image and produces a binary decision
indicating whether the input image has been manipulated, and also a
segmentation mask that corre- spon... | computer science |
39,830 | LiDAR-Camera Calibration using 3D-3D Point correspondences | cs.RO | With the advent of autonomous vehicles, LiDAR and cameras have become an
indispensable combination of sensors. They both provide rich and complementary
data which can be used by various algorithms and machine learning to sense and
make vital inferences about the surroundings. We propose a novel pipeline and
experimenta... | computer science |
39,831 | Towards Metamerism via Foveated Style Transfer | cs.CV | Given the recent successes of deep learning applied to style transfer and
texture synthesis, we propose a new theoretical framework to construct visual
metamers: \textit{a family of perceptually identical, yet physically different
images}. We review work both in neuroscience related to metameric stimuli, as
well as com... | computer science |
39,832 | On the Power Spectral Density Applied to the Analysis of Old Canvases | cs.CV | A routine task for art historians is painting diagnostics, such as dating or
attribution. Signal processing of the X-ray image of a canvas provides useful
information about its fabric. However, previous methods may fail when very old
and deteriorated artworks or simply canvases of small size are studied. We
present a n... | computer science |
39,833 | Jeffrey's prior sampling of deep sigmoidal networks | cs.CV | Neural networks have been shown to have a remarkable ability to uncover low
dimensional structure in data: the space of possible reconstructed images form
a reduced model manifold in image space. We explore this idea directly by
analyzing the manifold learned by Deep Belief Networks and Stacked Denoising
Autoencoders u... | computer science |
39,834 | Efficient Decentralized Visual Place Recognition From Full-Image
Descriptors | cs.RO | In this paper, we discuss the adaptation of our decentralized place
recognition method described in [1] to full image descriptors. As we had shown,
the key to making a scalable decentralized visual place recognition lies in
exploting deterministic key assignment in a distributed key-value map. Through
this, it is possi... | computer science |
39,835 | Where and Who? Automatic Semantic-Aware Person Composition | cs.GR | Image compositing is a method used to generate realistic yet fake imagery by
inserting contents from one image to another. Previous work in compositing has
focused on improving appearance compatibility of a user selected foreground
segment and a background image (i.e. color and illumination consistency). In
this work, ... | computer science |
39,836 | Director Field Analysis (DFA): Exploring Local White Matter Geometric
Structure in diffusion MRI | cs.CV | In Diffusion Tensor Imaging (DTI) or High Angular Resolution Diffusion
Imaging (HARDI), a tensor field or a spherical function field (e.g., an
orientation distribution function field), can be estimated from measured
diffusion weighted images. In this paper, inspired by the microscopic
theoretical treatment of phases in... | computer science |
39,837 | DeepSketch2Face: A Deep Learning Based Sketching System for 3D Face and
Caricature Modeling | cs.GR | Face modeling has been paid much attention in the field of visual computing.
There exist many scenarios, including cartoon characters, avatars for social
media, 3D face caricatures as well as face-related art and design, where
low-cost interactive face modeling is a popular approach especially among
amateur users. In t... | computer science |
39,838 | TextureGAN: Controlling Deep Image Synthesis with Texture Patches | cs.CV | In this paper, we investigate deep image synthesis guided by sketch, color,
and texture. Previous image synthesis methods can be controlled by sketch and
color strokes but we are the first to examine texture control. We allow a user
to place a texture patch on a sketch at arbitrary locations and scales to
control the d... | computer science |
39,839 | Multi-Modal Obstacle Detection in Unstructured Environments with
Conditional Random Fields | cs.RO | Reliable obstacle detection and classification in rough and unstructured
terrain such as agricultural fields or orchards remains a challenging problem.
These environments involve large variations in both geometry and appearance,
challenging perception systems that rely on only a single sensor modality.
Geometrically, t... | computer science |
39,840 | Visual Search at eBay | cs.CV | In this paper, we propose a novel end-to-end approach for scalable visual
search infrastructure. We discuss the challenges we faced for a massive
volatile inventory like at eBay and present our solution to overcome those. We
harness the availability of large image collection of eBay listings and
state-of-the-art deep l... | computer science |
39,841 | Exploring Convolutional Networks for End-to-End Visual Servoing | cs.RO | Present image based visual servoing approaches rely on extracting hand
crafted visual features from an image. Choosing the right set of features is
important as it directly affects the performance of any approach. Motivated by
recent breakthroughs in performance of data driven methods on recognition and
localization ta... | computer science |
39,842 | Segmentation of nearly isotropic overlapped tracks in photomicrographs
using successive erosions as watershed markers | cs.CV | The major challenges of automatic track counting are distinguishing tracks
and material defects, identifying small tracks and defects of similar size, and
detecting overlapping tracks. Here we address the latter issue using WUSEM, an
algorithm which combines the watershed transform, morphological erosions and
labeling ... | computer science |
39,843 | A filter based approach for inbetweening | cs.CV | We present a filter based approach for inbetweening. We train a convolutional
neural network to generate intermediate frames. This network aim to generate
smooth animation of line drawings. Our method can process scanned images
directly. Our method does not need to compute correspondence of lines and
topological change... | computer science |
39,844 | The in-town monitoring system for ambulance dispatch centre | cs.CY | The paper presents the vehicles integrated monitoring system giving
priorities for emergency vehicles. The described system exploits the data
gathered by: geographical positioning systems and geographical information
systems. The digital maps and roadside cameras provide the dispatchers with
aims for in town ambulances... | computer science |
39,845 | Portable Trust: biometric-based authentication and blockchain storage
for self-sovereign identity systems | cs.CR | We devised a mobile biometric-based authentication system only relying on
local processing. Our Android open source solution explores the capability of
current smartphones to acquire, process and match fingerprints using only its
built-in hardware. Our architecture is specifically designed to run completely
locally and... | computer science |
39,846 | Probabilistic RGB-D Odometry based on Points, Lines and Planes Under
Depth Uncertainty | cs.CV | This work proposes a robust visual odometry method for structured
environments that combines point features with line and plane segments,
extracted through an RGB-D camera. Noisy depth maps are processed by a
probabilistic depth fusion framework based on Mixtures of Gaussians to denoise
and derive the depth uncertainty... | computer science |
39,847 | Automatic Localization of Deep Stimulation Electrodes Using
Trajectory-based Segmentation Approach | cs.CV | Parkinson's disease (PD) is a degenerative condition of the nervous system,
which manifests itself primarily as muscle stiffness, hypokinesia,
bradykinesia, and tremor. In patients suffering from advanced stages of PD,
Deep Brain Stimulation neurosurgery (DBS) is the best alternative to medical
treatment, especially wh... | computer science |
39,848 | Learning Local Shape Descriptors from Part Correspondences With
Multi-view Convolutional Networks | cs.CV | We present a new local descriptor for 3D shapes, directly applicable to a
wide range of shape analysis problems such as point correspondences, semantic
segmentation, affordance prediction, and shape-to-scan matching. The descriptor
is produced by a convolutional network that is trained to embed geometrically
and semant... | computer science |
39,849 | Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video
Classification | cs.MM | Videos are inherently multimodal. This paper studies the problem of how to
fully exploit the abundant multimodal clues for improved video categorization.
We introduce a hybrid deep learning framework that integrates useful clues from
multiple modalities, including static spatial appearance information, motion
patterns ... | computer science |
39,850 | Feature Enhancement in Visually Impaired Images | cs.CV | One of the major open problems in computer vision is detection of features in
visually impaired images. In this paper, we describe a potential solution using
Phase Stretch Transform, a new computational approach for image analysis, edge
detection and resolution enhancement that is inspired by the physics of the
photoni... | computer science |
39,851 | A convolutional autoencoder approach for mining features in cellular
electron cryo-tomograms and weakly supervised coarse segmentation | cs.CV | Cellular electron cryo-tomography enables the 3D visualization of cellular
organization in the near-native state and at submolecular resolution. However,
the contents of cellular tomograms are often complex, making it difficult to
automatically isolate different in situ cellular components. In this paper, we
propose a ... | computer science |
39,852 | Interactive 3D Modeling with a Generative Adversarial Network | cs.CV | This paper proposes the idea of using a generative adversarial network (GAN)
to assist a novice user in designing real-world shapes with a simple interface.
The user edits a voxel grid with a painting interface (like Minecraft). Yet, at
any time, he/she can execute a SNAP command, which projects the current voxel
grid ... | computer science |
39,853 | Robotic Ironing with 3D Perception and Force/Torque Feedback in
Household Environments | cs.RO | As robotic systems become more popular in household environments, the
complexity of required tasks also increases. In this work we focus on a
domestic chore deemed dull by a majority of the population, the task of
ironing. The presented algorithm improves on the limited number of previous
works by joining 3D perception... | computer science |
39,854 | Exploring Content-based Artwork Recommendation with Metadata and Visual
Features | cs.IR | Compared to other areas, artwork recommendation has received little
attention, despite the continuous growth of the artwork market. Previous
research has relied on ratings and metadata to make artwork recommendations, as
well as visual features extracted with deep neural networks (DNN). However,
these features have no ... | computer science |
39,855 | User-driven mobile robot storyboarding: Learning image interest and
saliency from pairwise image comparisons | cs.CV | This paper describes a novel storyboarding scheme that uses a model trained
on pairwise image comparisons to identify images likely to be of interest to a
mobile robot user. Traditional storyboarding schemes typically attempt to
summarise robot observations using predefined novelty or image quality
objectives, but we p... | computer science |
39,856 | Visual Decoding of Targets During Visual Search From Human Eye Fixations | cs.CV | What does human gaze reveal about a users' intents and to which extend can
these intents be inferred or even visualized? Gaze was proposed as an implicit
source of information to predict the target of visual search and, more
recently, to predict the object class and attributes of the search target. In
this work, we go ... | computer science |
39,857 | Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise
Classification | cs.CV | There is no consensus on how to construct structural brain networks from
diffusion MRI. How variations in pre-processing steps affect network
reliability and its ability to distinguish subjects remains opaque. In this
work, we address this issue by comparing 35 structural connectome-building
pipelines. We vary diffusio... | computer science |
39,858 | Using deep learning to reveal the neural code for images in primary
visual cortex | cs.CV | Primary visual cortex (V1) is the first stage of cortical image processing,
and a major effort in systems neuroscience is devoted to understanding how it
encodes information about visual stimuli. Within V1, many neurons respond
selectively to edges of a given preferred orientation: these are known as
simple or complex ... | computer science |
39,859 | Brain Tumor Detection and Classification with Feed Forward Back-Prop
Neural Network | cs.CV | Brain is an organ that controls activities of all the parts of the body.
Recognition of automated brain tumor in Magnetic resonance imaging (MRI) is a
difficult task due to complexity of size and location variability. This
automatic method detects all the type of cancer present in the body. Previous
methods for tumor a... | computer science |
39,860 | Advanced Steel Microstructural Classification by Deep Learning Methods | cs.CV | The inner structure of a material is called microstructure. It stores the
genesis of a material and determines all its physical and chemical properties.
While microstructural characterization is widely spread and well known, the
microstructural classification is mostly done manually by human experts, which
gives rise t... | computer science |
39,861 | Passive Classification of Source Printer using Text-line-level Geometric
Distortion Signatures from Scanned Images of Printed Documents | cs.MM | In this digital era, one thing that still holds the convention is a printed
archive. Printed documents find their use in many critical domains such as
contract papers, legal tenders and proof of identity documents. As more
advanced printing, scanning and image editing techniques are becoming
available, forgeries on the... | computer science |
39,862 | Recognition of Grasp Points for Clothes Manipulation under unconstrained
Conditions | cs.CV | In this work a system for recognizing grasp points in RGB-D images is
proposed. This system is intended to be used by a domestic robot when deploying
clothes lying at a random position on a table. By taking into consideration
that the grasp points are usually near key parts of clothing, such as the waist
of pants or th... | computer science |
39,863 | Multi-Modal Trip Hazard Affordance Detection On Construction Sites | cs.RO | Trip hazards are a significant contributor to accidents on construction and
manufacturing sites, where over a third of Australian workplace injuries occur
[1]. Current safety inspections are labour intensive and limited by human
fallibility,making automation of trip hazard detection appealing from both a
safety and eco... | computer science |
39,864 | Comicolorization: Semi-Automatic Manga Colorization | cs.CV | We developed "Comicolorization", a semi-automatic colorization system for
manga images. Given a monochrome manga and reference images as inputs, our
system generates a plausible color version of the manga. This is the first work
to address the colorization of an entire manga title (a set of manga pages).
Our method col... | computer science |
39,865 | cGAN-based Manga Colorization Using a Single Training Image | cs.GR | The Japanese comic format known as Manga is popular all over the world. It is
traditionally produced in black and white, and colorization is time consuming
and costly. Automatic colorization methods generally rely on greyscale values,
which are not present in manga. Furthermore, due to copyright protection,
colorized m... | computer science |
39,866 | Highly curved image sensors: a practical approach for improved optical
performance | cs.CV | The significant optical and size benefits of using a curved focal surface for
imaging systems have been well studied yet never brought to market for lack of
a high-quality, mass-producible, curved image sensor. In this work we
demonstrate that commercial silicon CMOS image sensors can be thinned and
formed into accurat... | computer science |
39,867 | Shape recognition of volcanic ash by simple convolutional neural network | cs.CV | Shape analyses of tephra grains result in understanding eruption mechanism of
volcanoes. However, we have to define and select parameter set such as
convexity for the precise discrimination of tephra grains. Selection of the
best parameter set for the recognition of tephra shapes is complicated.
Actually, many shape pa... | computer science |
39,868 | Reconstructing the Forest of Lineage Trees of Diverse Bacterial
Communities Using Bio-inspired Image Analysis | cs.CV | Cell segmentation and tracking allow us to extract a plethora of cell
attributes from bacterial time-lapse cell movies, thus promoting computational
modeling and simulation of biological processes down to the single-cell level.
However, to analyze successfully complex cell movies, imaging multiple
interacting bacterial... | computer science |
39,869 | Single Classifier-based Passive System for Source Printer Classification
using Local Texture Features | cs.MM | An important aspect of examining printed documents for potential forgeries
and copyright infringement is the identification of source printer as it can be
helpful for ascertaining the leak and detecting forged documents. This paper
proposes a system for classification of source printer from scanned images of
printed do... | computer science |
39,870 | Improved Human Emotion Recognition Using Symmetry of Facial Key Points
with Dihedral Group | cs.CV | This article describes how to deploy dihedral group theory to detect Facial
Key Points (FKP) symmetry to recognize emotions. The method can be applied in
many other areas which those have the same data texture. | computer science |
39,871 | Image Forgery Localization Based on Multi-Scale Convolutional Neural
Networks | cs.CV | In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and
the segmentation-based multi-scale analysis to locate tampered areas in digital
images. First, to deal with color input sliding windows of different scales, a
unified CNN architecture is designed. Then, we elaborately design the training
proc... | computer science |
39,872 | ISTA-Net: Iterative Shrinkage-Thresholding Algorithm Inspired Deep
Network for Image Compressive Sensing | cs.CV | Traditional methods for image compressive sensing (CS) reconstruction solve a
well-defined inverse problem that is based on a predefined CS model, which
defines the underlying structure of the problem and is generally solved by
employing convergent iterative solvers. These optimization-based CS methods
face the challen... | computer science |
39,873 | Merging real and virtual worlds: An analysis of the state of the art and
practical evaluation of Microsoft Hololens | cs.HC | Achieving a symbiotic blending between reality and virtuality is a dream that
has been lying in the minds of many people for a long time. Advances in various
domains constantly bring us closer to making that dream come true. Augmented
reality as well as virtual reality are in fact trending terms and are expected
to fur... | computer science |
39,874 | Deep Semantic Classification for 3D LiDAR Data | cs.RO | Robots are expected to operate autonomously in dynamic environments.
Understanding the underlying dynamic characteristics of objects is a key
enabler for achieving this goal. In this paper, we propose a method for
pointwise semantic classification of 3D LiDAR data into three classes:
non-movable, movable and dynamic. W... | computer science |
39,875 | Image Processing in Floriculture Using a robotic Mobile Platform | cs.CY | Colombia has a privileged geographical location which makes it a cornerstone
and equidistant point to all regional markets. The country has a great
ecological diversity and it is one of the largest suppliers of flowers for US.
Colombian flower companies have made innovations in the marketing process,
using methods to r... | computer science |
39,876 | Using Frame Theoretic Convolutional Gridding for Robust Synthetic
Aperture Sonar Imaging | math.NA | Recent progress in synthetic aperture sonar (SAS) technology and processing
has led to significant advances in underwater imaging, outperforming previously
common approaches in both accuracy and efficiency. There are, however, inherent
limitations to current SAS reconstruction methodology. In particular, popular
and ef... | computer science |
39,877 | Material Recognition CNNs and Hierarchical Planning for Biped Robot
Locomotion on Slippery Terrain | cs.RO | In this paper we tackle the problem of visually predicting surface friction
for environments with diverse surfaces, and integrating this knowledge into
biped robot locomotion planning. The problem is essential for autonomous robot
locomotion since diverse surfaces with varying friction abound in the real
world, from wo... | computer science |
39,878 | Topometric Localization with Deep Learning | cs.CV | Compared to LiDAR-based localization methods, which provide high accuracy but
rely on expensive sensors, visual localization approaches only require a camera
and thus are more cost-effective while their accuracy and reliability typically
is inferior to LiDAR-based methods. In this work, we propose a vision-based
locali... | computer science |
39,879 | A selectional auto-encoder approach for document image binarization | cs.CV | Binarization plays a key role in the automatic information retrieval from
document images. This process is usually performed in the first stages of
documents analysis systems, and serves as a basis for subsequent steps. Hence
it has to be robust in order to allow the full analysis workflow to be
successful. Several met... | computer science |
39,880 | Failing to Learn: Autonomously Identifying Perception Failures for
Self-driving Cars | cs.CV | One of the major open challenges in self-driving cars is the ability to
detect cars and pedestrians to safely navigate in the world. Deep
learning-based object detector approaches have enabled great advances in using
camera imagery to detect and classify objects. But for a safety critical
application such as autonomous... | computer science |
39,881 | Geometric calibration of Colour and Stereo Surface Imaging System of
ESA's Trace Gas Orbiter | cs.CV | There are many geometric calibration methods for "standard" cameras. These
methods, however, cannot be used for the calibration of telescopes with large
focal lengths and complex off-axis optics. Moreover, specialized calibration
methods for the telescopes are scarce in literature. We describe the
calibration method th... | computer science |
39,882 | Arabic Character Segmentation Using Projection Based Approach with
Profile's Amplitude Filter | cs.CV | Arabic is one of the languages that present special challenges to Optical
character recognition (OCR). The main challenge in Arabic is that it is mostly
cursive. Therefore, a segmentation process must be carried out to determine
where the character begins and where it ends. This step is essential for
character recognit... | computer science |
39,883 | Copy-move Forgery Detection based on Convolutional Kernel Network | cs.CV | In this paper, a copy-move forgery detection method based on Convolutional
Kernel Network is proposed. Different from methods based on conventional
hand-crafted features, Convolutional Kernel Network is a kind of data-driven
local descriptor with the deep convolutional structure. Thanks to the
development of deep learn... | computer science |
39,884 | On the Fusion of Compton Scatter and Attenuation Data for Limited-view
X-ray Tomographic Applications | cs.CV | In this paper we demonstrate the utility of fusing energy-resolved
observations of Compton scattered photons with traditional attenuation data for
the joint recovery of mass density and photoelectric absorption in the context
of limited view tomographic imaging applications. We begin with the development
of a physical ... | computer science |
39,885 | SSGAN: Secure Steganography Based on Generative Adversarial Networks | cs.CV | In this paper, a novel strategy of Secure Steganograpy based on Generative
Adversarial Networks is proposed to generate suitable and secure covers for
steganography. The proposed architecture has one generative network, and two
discriminative networks. The generative network mainly evaluates the visual
quality of the g... | computer science |
39,886 | Weighted Low Rank Approximation for Background Estimation Problems | math.OC | Classical principal component analysis (PCA) is not robust to the presence of
sparse outliers in the data. The use of the $\ell_1$ norm in the Robust PCA
(RPCA) method successfully eliminates the weakness of PCA in separating the
sparse outliers. In this paper, by sticking a simple weight to the Frobenius
norm, we prop... | computer science |
39,887 | Changing Views on Curves and Surfaces | math.AG | Visual events in computer vision are studied from the perspective of
algebraic geometry. Given a sufficiently general curve or surface in 3-space,
we consider the image or contour curve that arises by projecting from a
viewpoint. Qualitative changes in that curve occur when the viewpoint crosses
the visual event surfac... | computer science |
39,888 | Deep Bilateral Learning for Real-Time Image Enhancement | cs.GR | Performance is a critical challenge in mobile image processing. Given a
reference imaging pipeline, or even human-adjusted pairs of images, we seek to
reproduce the enhancements and enable real-time evaluation. For this, we
introduce a new neural network architecture inspired by bilateral grid
processing and local affi... | computer science |
39,889 | A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator
for Internet of Things | cs.CV | Convolutional neural network (CNN) offers significant accuracy in image
detection. To implement image detection using CNN in the internet of things
(IoT) devices, a streaming hardware accelerator is proposed. The proposed
accelerator optimizes the energy efficiency by avoiding unnecessary data
movement. With unique fil... | computer science |
39,890 | Automatic Construction of Real-World Datasets for 3D Object Localization
using Two Cameras | cs.CV | Unlike classification, position labels cannot be assigned manually by humans.
For this reason, generating supervision for precise object localization is a
hard task. This paper details a method to create large datasets for 3D object
localization, with real world images, using an industrial robot to generate
position la... | computer science |
39,891 | SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency
Volumes | cs.CV | We introduce SaltiNet, a deep neural network for scanpath prediction trained
on 360-degree images. The model is based on a temporal-aware novel
representation of saliency information named the saliency volume. The first
part of the network consists of a model trained to generate saliency volumes,
whose parameters are f... | computer science |
39,892 | Experimental comparison of single-pixel imaging algorithms | cs.CV | Single-pixel imaging (SPI) is a novel technique capturing 2D images using a
photodiode, instead of conventional 2D array sensors. SPI owns high
signal-to-noise ratio, wide spectrum range, low cost, and robustness to light
scattering. Various algorithms have been proposed for SPI reconstruction,
including the linear cor... | computer science |
39,893 | Obstacle detection test in real-word traffic contexts for the purposes
of motorcycle autonomous emergency braking (MAEB) | cs.CV | Research suggests that a Motorcycle Autonomous Emergency Braking system
(MAEB) could influence 25% of the crashes involving powered two wheelers
(PTWs). By automatically slowing down a host PTW of up to 10 km/h in inevitable
collision scenarios, MAEB could potentially mitigate the crash severity for the
riders. The fea... | computer science |
39,894 | Two-dimensional nonseparable discrete linear canonical transform based
on CM-CC-CM-CC decomposition | cs.CV | As a generalization of the two-dimensional Fourier transform (2D FT) and 2D
fractional Fourier transform, the 2D nonseparable linear canonical transform
(2D NsLCT) is useful in optics, signal and image processing. To reduce the
digital implementation complexity of the 2D NsLCT, some previous works
decomposed the 2D NsL... | computer science |
39,895 | Discrete Gyrator Transforms: Computational Algorithms and Applications | cs.CV | As an extension of the 2D fractional Fourier transform (FRFT) and a special
case of the 2D linear canonical transform (LCT), the gyrator transform was
introduced to produce rotations in twisted space/spatial-frequency planes. It
is a useful tool in optics, signal processing and image processing. In this
paper, we devel... | computer science |
39,896 | Two-pixel polarimetric camera by compressive sensing | cs.CV | We propose an original concept of compressive sensing (CS) polarimetric
imaging based on a digital micro-mirror (DMD) array and two single-pixel
detectors. The polarimetric sensitivity of the proposed setup is due to an
experimental imperfection of reflecting mirrors which is exploited here to form
an original reconstr... | computer science |
39,897 | Data preprocessing methods for robust Fourier ptychographic microscopy | cs.CV | Fourier ptychographic microscopy (FPM) is a recently proposed computational
imaging technique with both high resolution and wide field-of-view. In current
FP experimental setup, the dark-field images with high-angle illuminations are
easily submerged by stray light and background noise due to the low
signal-to-noise ra... | computer science |
39,898 | Using Transfer Learning for Image-Based Cassava Disease Detection | cs.CV | Cassava is the third largest source of carbohydrates for human food in the
world but is vulnerable to virus diseases, which threaten to destabilize food
security in sub-Saharan Africa. Novel methods of cassava disease detection are
needed to support improved control which will prevent this crisis. Image
recognition off... | computer science |
39,899 | Multiband NFC for High-Throughput Wireless Computer Vision Sensor
Network | cs.NI | Vision sensors lie in the heart of computer vision. In many computer vision
applications, such as AR/VR, non-contacting near-field communication (NFC) with
high throughput is required to transfer information to algorithms. In this
work, we proposed a novel NFC system which utilizes multiple frequency bands to
achieve h... | computer science |
39,900 | Large-scale Multiview 3D Hand Pose Dataset | cs.HC | Accurate hand pose estimation at joint level has several uses on human-robot
interaction, user interfacing and virtual reality applications. Yet, it
currently is not a solved problem. The novel deep learning techniques could
make a great improvement on this matter but they need a huge amount of
annotated data. The hand... | computer science |
39,901 | Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle | cs.CV | We tackle the problem of localizing an autonomous sea-surface vehicle in
river estuarine areas using monocular camera and angular velocity input from an
inertial sensor. Our method is challenged by two prominent drawbacks associated
with the environment, which are typically not present in standard visual
simultaneous l... | computer science |
39,902 | Recognizing Abnormal Heart Sounds Using Deep Learning | cs.SD | The work presented here applies deep learning to the task of automated
cardiac auscultation, i.e. recognizing abnormalities in heart sounds. We
describe an automated heart sound classification algorithm that combines the
use of time-frequency heat map representations with a deep convolutional neural
network (CNN). Give... | computer science |
39,903 | LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD
Data of Cluttered Scenes | cs.CV | Deep neural network (DNN) architectures have been shown to outperform
traditional pipelines for object segmentation and pose estimation using RGBD
data, but the performance of these DNN pipelines is directly tied to how
representative the training data is of the true data. Hence a key requirement
for employing these me... | computer science |
39,904 | Hybrid PS-V Technique: A Novel Sensor Fusion Approach for Fast Mobile
Eye-Tracking with Sensor-Shift Aware Correction | cs.CV | This paper introduces and evaluates a hybrid technique that fuses efficiently
the eye-tracking principles of photosensor oculography (PSOG) and video
oculography (VOG). The main concept of this novel approach is to use a few fast
and power-economic photosensors as the core mechanism for performing high speed
eye-tracki... | computer science |
39,905 | Photosensor Oculography: Survey and Parametric Analysis of Designs using
Model-Based Simulation | cs.CV | This paper presents a renewed overview of photosensor oculography (PSOG), an
eye-tracking technique based on the principle of using simple photosensors to
measure the amount of reflected (usually infrared) light when the eye rotates.
Photosensor oculography can provide measurements with high precision, low
latency and ... | computer science |
39,906 | Coresets for Triangulation | cs.CG | Multiple-view triangulation by $\ell_{\infty}$ minimisation has become
established in computer vision. State-of-the-art $\ell_{\infty}$ triangulation
algorithms exploit the quasiconvexity of the cost function to derive iterative
update rules that deliver the global minimum. Such algorithms, however, can be
computationa... | computer science |
39,907 | Secure SURF with Fully Homomorphic Encryption | cs.CV | Cloud computing is an important part of today's world because offloading
computations is a method to reduce costs. In this paper, we investigate
computing the Speeded Up Robust Features (SURF) using Fully Homomorphic
Encryption (FHE). Performing SURF in FHE enables a method to offload the
computations while maintaining... | computer science |
39,908 | On Finding Maximum Cardinality Subset of Vectors with a Constraint on
Normalized Squared Length of Vectors Sum | cs.DS | In this paper, we consider the problem of finding a maximum cardinality
subset of vectors, given a constraint on the normalized squared length of
vectors sum. This problem is closely related to Problem 1 from (Eremeev,
Kel'manov, Pyatkin, 2016). The main difference consists in swapping the
constraint with the optimizat... | computer science |
39,909 | Shape Generation using Spatially Partitioned Point Clouds | cs.CV | We propose a method to generate 3D shapes using point clouds. Given a
point-cloud representation of a 3D shape, our method builds a kd-tree to
spatially partition the points. This orders them consistently across all
shapes, resulting in reasonably good correspondences across all shapes. We then
use PCA analysis to deri... | computer science |
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