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39,910 | Fast, Simple Calcium Imaging Segmentation with Fully Convolutional
Networks | cs.CV | Calcium imaging is a technique for observing neuron activity as a series of
images showing indicator fluorescence over time. Manually segmenting neurons is
time-consuming, leading to research on automated calcium imaging segmentation
(ACIS). We evaluated several deep learning models for ACIS on the Neurofinder
competit... | computer science |
39,911 | DenseNet for Dense Flow | cs.CV | Classical approaches for estimating optical flow have achieved rapid progress
in the last decade. However, most of them are too slow to be applied in
real-time video analysis. Due to the great success of deep learning, recent
work has focused on using CNNs to solve such dense prediction problems. In this
paper, we inve... | computer science |
39,912 | 3D Shape Reconstruction from Sketches via Multi-view Convolutional
Networks | cs.CV | We propose a method for reconstructing 3D shapes from 2D sketches in the form
of line drawings. Our method takes as input a single sketch, or multiple
sketches, and outputs a dense point cloud representing a 3D reconstruction of
the input sketch(es). The point cloud is then converted into a polygon mesh. At
the heart o... | computer science |
39,913 | leave a trace - A People Tracking System Meets Anomaly Detection | cs.CV | Video surveillance always had a negative connotation, among others because of
the loss of privacy and because it may not automatically increase public
safety. If it was able to detect atypical (i.e. dangerous) situations in real
time, autonomously and anonymously, this could change. A prerequisite for this
is a reliabl... | computer science |
39,914 | Convolutional Sparse Coding: Boundary Handling Revisited | cs.CV | Two different approaches have recently been proposed for boundary handling in
convolutional sparse representations, avoiding potential boundary artifacts
arising from the circular boundary conditions implied by the use of frequency
domain solution methods by introducing a spatial mask into the convolutional
sparse codi... | computer science |
39,915 | Automatic Curation of Golf Highlights using Multimodal Excitement
Features | cs.CV | The production of sports highlight packages summarizing a game's most
exciting moments is an essential task for broadcast media. Yet, it requires
labor-intensive video editing. We propose a novel approach for auto-curating
sports highlights, and use it to create a real-world system for the editorial
aid of golf highlig... | computer science |
39,916 | Clinical Patient Tracking in the Presence of Transient and Permanent
Occlusions via Geodesic Feature | cs.RO | This paper develops a method to use RGB-D cameras to track the motions of a
human spinal cord injury patient undergoing spinal stimulation and physical
rehabilitation. Because clinicians must remain close to the patient during
training sessions, the patient is usually under permanent and transient
occlusions due to the... | computer science |
39,917 | Single-Shot Clothing Category Recognition in Free-Configurations with
Application to Autonomous Clothes Sorting | cs.RO | This paper proposes a single-shot approach for recognising clothing
categories from 2.5D features. We propose two visual features, BSP (B-Spline
Patch) and TSD (Topology Spatial Distances) for this task. The local BSP
features are encoded by LLC (Locality-constrained Linear Coding) and fused with
three different global... | computer science |
39,918 | An Event-based Fast Movement Detection Algorithm for a Positioning Robot
Using POWERLINK Communication | cs.RO | This work develops a tracking system based on an event-based camera. A
bioinspired filtering algorithm to reduce noise and transmitted data while
keeping the main features at the scene is implemented in FPGA which also serves
as a network node. POWERLINK IEEE 61158 industrial network is used to
communicate the FPGA wit... | computer science |
39,919 | Inspiring Computer Vision System Solutions | cs.CV | The "digital Michelangelo project" was a seminal computer vision project in
the early 2000's that pushed the capabilities of acquisition systems and
involved multiple people from diverse fields, many of whom are now leaders in
industry and academia. Reviewing this project with modern eyes provides us with
the opportuni... | computer science |
39,920 | Team Applied Robotics: A closer look at our robotic picking system | cs.CV | This paper describes the vision based robotic picking system that was
developed by our team, Team Applied Robotics, for the Amazon Picking Challenge
2016. This competition challenged teams to develop a robotic system that is
able to pick a large variety of products from a shelve or a tote. We discuss
the design conside... | computer science |
39,921 | A new take on measuring relative nutritional density: The feasibility of
using a deep neural network to assess commercially-prepared pureed food
concentrations | cs.CV | Dysphagia affects 590 million people worldwide and increases risk for
malnutrition. Pureed food may reduce choking, however preparation differences
impact nutrient density making quality assurance necessary. This paper is the
first study to investigate the feasibility of computational pureed food
nutritional density an... | computer science |
39,922 | Semantic 3D Occupancy Mapping through Efficient High Order CRFs | cs.CV | Semantic 3D mapping can be used for many applications such as robot
navigation and virtual interaction. In recent years, there has been great
progress in semantic segmentation and geometric 3D mapping. However, it is
still challenging to combine these two tasks for accurate and large-scale
semantic mapping from images.... | computer science |
39,923 | Functional connectivity patterns of autism spectrum disorder identified
by deep feature learning | cs.CV | Autism spectrum disorder (ASD) is regarded as a brain disease with globally
disrupted neuronal networks. Even though fMRI studies have revealed abnormal
functional connectivity in ASD, they have not reached a consensus of the
disrupted patterns. Here, a deep learning-based feature extraction method
identifies multivari... | computer science |
39,924 | Line-Circle: A Geometric Filter for Single Camera Edge-Based Object
Detection | cs.RO | This paper presents a state-of-the-art approach in object detection for being
applied in future SLAM problems. Although, many SLAM methods are proposed to
create suitable autonomy for mobile robots namely ground vehicles, they still
face overconfidence and large computations during entrance to immense spaces
with many ... | computer science |
39,925 | What You Sketch Is What You Get: 3D Sketching using Multi-View Deep
Volumetric Prediction | cs.GR | Sketch-based modeling strives to bring the ease and immediacy of drawing to
the 3D world. However, while drawings are easy for humans to create, they are
very challenging for computers to interpret due to their sparsity and
ambiguity. We propose a data-driven approach that tackles this challenge by
learning to reconstr... | computer science |
39,926 | Maximum entropy based non-negative optoacoustic tomographic image
reconstruction | cs.CV | Optoacoustic (photoacoustic) tomography reconstructs maps of the initial
pressure rise induced by the absorption of light pulses in tissue. In practice,
due to inaccurate assumptions in the forward model employed, noise and other
experimental factors, the images often contain errors, occasionally manifested
as negative... | computer science |
39,927 | Ultra-low-power Wireless Streaming Cameras | cs.ET | Wireless video streaming has traditionally been considered an extremely
power-hungry operation. Existing approaches optimize the camera and
communication modules individually to minimize their power consumption.
However, the joint redesign and optimization of wireless communication as well
as the camera is what that pr... | computer science |
39,928 | Two Hilbert schemes in computer vision | math.AG | We study the multiview moduli problems that arise in computer vision. We show
that these moduli spaces are always smooth and irreducible, in both the
calibrated and uncalibrated cases, for any number of views. We also show that
these moduli spaces always embed in (diagram) Hilbert schemes, and that these
embeddings are... | computer science |
39,929 | LEARN: Learned Experts' Assessment-based Reconstruction Network for
Sparse-data CT | cs.CV | Compressive sensing (CS) has proved effective for tomographic reconstruction
from sparsely collected data or under-sampled measurements, which are
practically important for few-view CT, tomosynthesis, interior tomography, and
so on. To perform sparse-data CT, the iterative reconstruction commonly use
regularizers in th... | computer science |
39,930 | Capacity limitations of visual search in deep convolutional neural
network | cs.CV | Deep convolutional neural networks follow roughly the architecture of
biological visual systems, and have shown a performance comparable to human
observers in object recognition tasks. In this study, I test a pre-trained deep
neural network in some classic visual search tasks. The results reveal a
qualitative differenc... | computer science |
39,931 | Superposition de calques monochromes d'opacités variables | cs.GR | For a monochrome layer $x$ of opacity $0\le o_x\le1 $ placed on another
monochrome layer of opacity 1, the result given by the standard formula is
$$\small\Pi\left({\bf
C}_\varphi\right)=1+\sum_{n=1}^2\left(2-n-(-1)^no_{\chi(\varphi+1)}\right)\left(\chi(n+\varphi-1)-o_{\chi(n+\varphi-1)}\right),$$
the formula being of ... | computer science |
39,932 | PROBE-GK: Predictive Robust Estimation using Generalized Kernels | cs.RO | Many algorithms in computer vision and robotics make strong assumptions about
uncertainty, and rely on the validity of these assumptions to produce accurate
and consistent state estimates. In practice, dynamic environments may degrade
sensor performance in predictable ways that cannot be captured with static
uncertaint... | computer science |
39,933 | PROBE: Predictive Robust Estimation for Visual-Inertial Navigation | cs.RO | Navigation in unknown, chaotic environments continues to present a
significant challenge for the robotics community. Lighting changes,
self-similar textures, motion blur, and moving objects are all considerable
stumbling blocks for state-of-the-art vision-based navigation algorithms. In
this paper we present a novel te... | computer science |
39,934 | CT sinogram-consistency learning for metal-induced beam hardening
correction | cs.CV | This paper proposes a sinogram consistency learning method to deal with
beam-hardening related artifacts in polychromatic computerized tomography (CT).
The presence of highly attenuating materials in the scan field causes an
inconsistent sinogram, that does not match the range space of the Radon
transform. When the mis... | computer science |
39,935 | Generation of High Dynamic Range Illumination from a Single Image for
the Enhancement of Undesirably Illuminated Images | cs.CV | This paper presents an algorithm that enhances undesirably illuminated images
by generating and fusing multi-level illuminations from a single image.The
input image is first decomposed into illumination and reflectance components by
using an edge-preserving smoothing filter. Then the reflectance component is
scaled up ... | computer science |
39,936 | Deep Detection of People and their Mobility Aids for a Hospital Robot | cs.RO | Robots operating in populated environments encounter many different types of
people, some of whom might have an advanced need for cautious interaction,
because of physical impairments or their advanced age. Robots therefore need to
recognize such advanced demands to provide appropriate assistance, guidance or
other for... | computer science |
39,937 | OmniArt: Multi-task Deep Learning for Artistic Data Analysis | cs.MM | Vast amounts of artistic data is scattered on-line from both museums and art
applications. Collecting, processing and studying it with respect to all
accompanying attributes is an expensive process. With a motivation to speed up
and improve the quality of categorical analysis in the artistic domain, in this
paper we pr... | computer science |
39,938 | Combining Keystroke Dynamics and Face Recognition for User Verification | cs.HC | The massive explosion and ubiquity of computing devices and the outreach of
the web have been the most defining events of the century so far. As more and
more people gain access to the internet, traditional know-something and
have-something authentication methods such as PINs and passwords are proving to
be insufficien... | computer science |
39,939 | An Energy Minimization Approach to 3D Non-Rigid Deformable Surface
Estimation Using RGBD Data | cs.CV | We propose an algorithm that uses energy mini- mization to estimate the
current configuration of a non-rigid object. Our approach utilizes an RGBD
image to calculate corresponding SURF features, depth, and boundary informa-
tion. We do not use predetermined features, thus enabling our system to operate
on unmodified ob... | computer science |
39,940 | Attention Transfer from Web Images for Video Recognition | cs.CV | Training deep learning based video classifiers for action recognition
requires a large amount of labeled videos. The labeling process is
labor-intensive and time-consuming. On the other hand, large amount of
weakly-labeled images are uploaded to the Internet by users everyday. To
harness the rich and highly diverse set... | computer science |
39,941 | Using the SLEUTH urban growth model to simulate the impacts of future
policy scenarios on urban land use in the Tehran metropolitan area in Iran | cs.CV | The SLEUTH model, based on the Cellular Automata (CA), can be applied to city
development simulation in metropolitan areas. In this study the SLEUTH model
was used to model the urban expansion and predict the future possible behavior
of the urban growth in Tehran. The fundamental data were five Landsat TM and
ETM image... | computer science |
39,942 | Phase-error estimation and image reconstruction from digital-holography
data using a Bayesian framework | cs.CV | The estimation of phase errors from digital-holography data is critical for
applications such as imaging or wave-front sensing. Conventional techniques
require multiple i.i.d. data and perform poorly in the presence of high noise
or large phase errors. In this paper we propose a method to estimate
isoplanatic phase err... | computer science |
39,943 | Improved Speech Reconstruction from Silent Video | cs.CV | Speechreading is the task of inferring phonetic information from visually
observed articulatory facial movements, and is a notoriously difficult task for
humans to perform. In this paper we present an end-to-end model based on a
convolutional neural network (CNN) for generating an intelligible and
natural-sounding acou... | computer science |
39,944 | Semantic Augmented Reality Environment with Material-Aware Physical
Interactions | cs.CV | In Augmented Reality (AR) environment, realistic interactions between the
virtual and real objects play a crucial role in user experience. Much of recent
advances in AR has been largely focused on developing geometry-aware
environment, but little has been done in dealing with interactions at the
semantic level. High-le... | computer science |
39,945 | Image reconstruction with imperfect forward models and applications in
deblurring | cs.NA | We present and analyse an approach to image reconstruction problems with
imperfect forward models based on partially ordered spaces - Banach lattices.
In this approach, errors in the data and in the forward models are described
using order intervals. The method can be characterised as the lattice analogue
of the residu... | computer science |
39,946 | Flare Prediction Using Photospheric and Coronal Image Data | cs.CV | The precise physical process that triggers solar flares is not currently
understood. Here we attempt to capture the signature of this mechanism in solar
image data of various wavelengths and use these signatures to predict flaring
activity. We do this by developing an algorithm that [1] automatically
generates features... | computer science |
39,947 | A Framework for Visually Realistic Multi-robot Simulation in Natural
Environment | cs.RO | This paper presents a generalized framework for the simulation of multiple
robots and drones in highly realistic models of natural environments. The
proposed simulation architecture uses the Unreal Engine4 for generating both
optical and depth sensor outputs from any position and orientation within the
environment and ... | computer science |
39,948 | MonoPerfCap: Human Performance Capture from Monocular Video | cs.CV | We present the first marker-less approach for temporally coherent 3D
performance capture of a human with general clothing from monocular video. Our
approach reconstructs articulated human skeleton motion as well as medium-scale
non-rigid surface deformations in general scenes. Human performance capture is
a challenging... | computer science |
39,949 | Real-Time Visual Localisation in a Tagged Environment | cs.CV | In a robotised warehouse a major issue is the safety of human operators in
case of intervention in the work area of the robots. The current solution is to
shut down every robot but it causes a loss of productivity, especially for
large robotised warehouses. In order to avoid this loss we need to ensure the
operator's s... | computer science |
39,950 | What Makes a Place? Building Bespoke Place Dependent Object Detectors
for Robotics | cs.RO | This paper is about enabling robots to improve their perceptual performance
through repeated use in their operating environment, creating local expert
detectors fitted to the places through which a robot moves. We leverage the
concept of 'experiences' in visual perception for robotics, accounting for bias
in the data a... | computer science |
39,951 | Fast Scene Understanding for Autonomous Driving | cs.CV | Most approaches for instance-aware semantic labeling traditionally focus on
accuracy. Other aspects like runtime and memory footprint are arguably as
important for real-time applications such as autonomous driving. Motivated by
this observation and inspired by recent works that tackle multiple tasks with a
single integ... | computer science |
39,952 | Semantic Instance Segmentation with a Discriminative Loss Function | cs.CV | Semantic instance segmentation remains a challenging task. In this work we
propose to tackle the problem with a discriminative loss function, operating at
the pixel level, that encourages a convolutional network to produce a
representation of the image that can easily be clustered into instances with a
simple post-proc... | computer science |
39,953 | Learning Visual Importance for Graphic Designs and Data Visualizations | cs.HC | Knowing where people look and click on visual designs can provide clues about
how the designs are perceived, and where the most important or relevant content
lies. The most important content of a visual design can be used for effective
summarization or to facilitate retrieval from a database. We present automated
model... | computer science |
39,954 | Human Skin Detection Using RGB, HSV and YCbCr Color Models | cs.CV | Human Skin detection deals with the recognition of skin-colored pixels and
regions in a given image. Skin color is often used in human skin detection
because it is invariant to orientation and size and is fast to process. A new
human skin detection algorithm is proposed in this paper. The three main
parameters for reco... | computer science |
39,955 | SPLODE: Semi-Probabilistic Point and Line Odometry with Depth Estimation
from RGB-D Camera Motion | cs.RO | Active depth cameras suffer from several limitations, which cause incomplete
and noisy depth maps, and may consequently affect the performance of RGB-D
Odometry. To address this issue, this paper presents a visual odometry method
based on point and line features that leverages both measurements from a depth
sensor and ... | computer science |
39,956 | Privacy Preserving Face Retrieval in the Cloud for Mobile Users | cs.CV | Recently, cloud storage and processing have been widely adopted. Mobile users
in one family or one team may automatically backup their photos to the same
shared cloud storage space. The powerful face detector trained and provided by
a 3rd party may be used to retrieve the photo collection which contains a
specific grou... | computer science |
39,957 | An evaluation of large-scale methods for image instance and class
discovery | cs.CV | This paper aims at discovering meaningful subsets of related images from
large image collections without annotations. We search groups of images related
at different levels of semantic, i.e., either instances or visual classes.
While k-means is usually considered as the gold standard for this task, we
evaluate and show... | computer science |
39,958 | Personalized Cinemagraphs using Semantic Understanding and Collaborative
Learning | cs.CV | Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In
these media, dynamic and still elements are juxtaposed to create an artistic
and narrative experience. Creating a high-quality, aesthetically pleasing
cinemagraph requires isolating objects in a semantically meaningful way and
then selecting goo... | computer science |
39,959 | Learning to Synthesize a 4D RGBD Light Field from a Single Image | cs.CV | We present a machine learning algorithm that takes as input a 2D RGB image
and synthesizes a 4D RGBD light field (color and depth of the scene in each ray
direction). For training, we introduce the largest public light field dataset,
consisting of over 3300 plenoptic camera light fields of scenes containing
flowers and... | computer science |
39,960 | Calipso: Physics-based Image and Video Editing through CAD Model Proxies | cs.GR | We present Calipso, an interactive method for editing images and videos in a
physically-coherent manner. Our main idea is to realize physics-based
manipulations by running a full physics simulation on proxy geometries given by
non-rigidly aligned CAD models. Running these simulations allows us to apply
new, unseen forc... | computer science |
39,961 | DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction
from a Single Image | cs.CV | 3D reconstruction from a single image is a key problem in multiple
applications ranging from robotic manipulation to augmented reality. Prior
methods have tackled this problem through generative models which predict 3D
reconstructions as voxels or point clouds. However, these methods can be
computationally expensive an... | computer science |
39,962 | Deep Learning for Passive Synthetic Aperture Radar | cs.CV | We introduce a deep learning (DL) framework for inverse problems in imaging,
and demonstrate the advantages and applicability of this approach in passive
synthetic aperture radar (SAR) image reconstruction. We interpret image recon-
struction as a machine learning task and utilize deep networks as forward and
inverse s... | computer science |
39,963 | Colorimetric Calibration of a Digital Camera | cs.CV | In this paper, we introduce a novel - physico-chemical - approach for
calibration of a digital camera chip. This approach utilizes results of
measurement of incident light spectra of calibration films of different levels
of gray for construction of calibration curve (number of incident photons vs.
image pixel intensity... | computer science |
39,964 | A Generalised Directional Laplacian Distribution: Estimation, Mixture
Models and Audio Source Separation | cs.SD | Directional or Circular statistics are pertaining to the analysis and
interpretation of directions or rotations. In this work, a novel probability
distribution is proposed to model multidimensional sparse directional data. The
Generalised Directional Laplacian Distribution (DLD) is a hybrid between the
Laplacian distri... | computer science |
39,965 | Interstitial Content Detection | cs.CY | Interstitial content is online content which grays out, or otherwise obscures
the main page content. In this technical report, we discuss exploratory
research into detecting the presence of interstitial content in web pages. We
discuss the use of computer vision techniques to detect interstitials, and the
potential use... | computer science |
39,966 | Deep Binary Reconstruction for Cross-modal Hashing | cs.CV | With the increasing demand of massive multimodal data storage and
organization, cross-modal retrieval based on hashing technique has drawn much
attention nowadays. It takes the binary codes of one modality as the query to
retrieve the relevant hashing codes of another modality. However, the existing
binary constraint m... | computer science |
39,967 | Brain Abnormality Detection by Deep Convolutional Neural Network | cs.CV | In this paper, we describe our method for classification of brain magnetic
resonance (MR) images into different abnormalities and healthy classes based on
the deep neural network. We propose our method to detect high and low-grade
glioma, multiple sclerosis, and Alzheimer diseases as well as healthy cases.
Our network ... | computer science |
39,968 | Reflectance Intensity Assisted Automatic and Accurate Extrinsic
Calibration of 3D LiDAR and Panoramic Camera Using a Printed Chessboard | cs.CV | This paper presents a novel method for fully automatic and convenient
extrinsic calibration of a 3D LiDAR and a panoramic camera with a normally
printed chessboard. The proposed method is based on the 3D corner estimation of
the chessboard from the sparse point cloud generated by one frame scan of the
LiDAR. To estimat... | computer science |
39,969 | Word Searching in Scene Image and Video Frame in Multi-Script Scenario
using Dynamic Shape Coding | cs.CV | Retrieval of text information from natural scene images and video frames is a
challenging task due to its inherent problems like complex character shapes,
low resolution, background noise, etc. Available OCR systems often fail to
retrieve such information in scene/video frames. Keyword spotting, an
alternative way to r... | computer science |
39,970 | Towards Automatic Construction of Diverse, High-quality Image Dataset | cs.CV | The availability of labeled image datasets has been shown critical for
high-level image understanding, which continuously drives the progress of
feature designing and models developing. However, constructing labeled image
datasets is laborious and monotonous. To eliminate manual annotation, in this
work, we propose a n... | computer science |
39,971 | Automatic detection and decoding of honey bee waggle dances | cs.CV | The waggle dance is one of the most popular examples of animal communication.
Forager bees direct their nestmates to profitable resources via a complex motor
display. Essentially, the dance encodes the polar coordinates to the resource
in the field. Unemployed foragers follow the dancer's movements and then search
for ... | computer science |
39,972 | Tags2Parts: Discovering Semantic Regions from Shape Tags | cs.CV | We propose a novel method for discovering shape regions that strongly
correlate with user-prescribed tags. For example, given a collection of chairs
tagged as either "has armrest" or "lacks armrest", our system correctly
highlights the armrest regions as the main distinctive parts between the two
chair types. To obtain... | computer science |
39,973 | Seeing Through Noise: Visually Driven Speaker Separation and Enhancement | cs.CV | Isolating the voice of a specific person while filtering out other voices or
background noises is challenging when video is shot in noisy environments. We
propose audio-visual methods to isolate the voice of a single speaker and
eliminate unrelated sounds. First, face motions captured in the video are used
to estimate ... | computer science |
39,974 | Application of a Convolutional Neural Network for image classification
to the analysis of collisions in High Energy Physics | cs.CV | The application of deep learning techniques using convolutional neural
networks to the classification of particle collisions in High Energy Physics is
explored. An intuitive approach to transform physical variables, like momenta
of particles and jets, into a single image that captures the relevant
information, is propo... | computer science |
39,975 | Gradient-based Camera Exposure Control for Outdoor Mobile Platforms | cs.CV | We introduce a novel method to automatically adjust camera exposure for image
processing and computer vision applications of mobile robot platforms. Since
most image processing algorithms heavily rely on low-level image features,
which are largely based on local gradient information, we consider a gradient
quantity to ... | computer science |
39,976 | An IoT Real-Time Biometric Authentication System Based on ECG Fiducial
Extracted Features Using Discrete Cosine Transform | cs.CV | The conventional authentication technologies, like RFID tags and
authentication cards/badges, suffer from different weaknesses, therefore a
prompt replacement to use biometric method of authentication should be applied
instead. Biometrics, such as fingerprints, voices, and ECG signals, are unique
human characters that ... | computer science |
39,977 | Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in
Unconstrained Environments | cs.CV | Labeled Faces in the Wild (LFW) database has been widely utilized as the
benchmark of unconstrained face verification and due to big data driven machine
learning methods, the performance on the database approaches nearly 100%.
However, we argue that this accuracy may be too optimistic because of some
limiting factors. ... | computer science |
39,978 | Digital image splicing detection based on Markov features in QDCT and
QWT domain | cs.CV | Image splicing detection is of fundamental importance in digital forensics
and therefore has attracted increasing attention recently. In this paper, a
color image splicing detection approach is proposed based on Markov transition
probability of quaternion component separation in quaternion discrete cosine
transform (QD... | computer science |
39,979 | Study of Clear Sky Models for Singapore | cs.CV | The estimation of total solar irradiance falling on the earth's surface is
important in the field of solar energy generation and forecasting. Several
clear-sky solar radiation models have been developed over the last few decades.
Most of these models are based on empirical distribution of various
geographical parameter... | computer science |
39,980 | Dual-fisheye lens stitching for 360-degree imaging | cs.CV | Dual-fisheye lens cameras have been increasingly used for 360-degree
immersive imaging. However, the limited overlapping field of views and
misalignment between the two lenses give rise to visible discontinuities in the
stitching boundaries. This paper introduces a novel method for dual-fisheye
camera stitching that ad... | computer science |
39,981 | Analyzing Cloud Optical Properties Using Sky Cameras | cs.CV | Clouds play a significant role in the fluctuation of solar radiation received
by the earth's surface. It is important to study the various cloud properties,
as it impacts the total solar irradiance falling on the earth's surface. One of
such important optical properties of the cloud is the Cloud Optical Thickness
(COT)... | computer science |
39,982 | NODDI-SH: a computational efficient NODDI extension for fODF estimation
in diffusion MRI | cs.CV | Diffusion Magnetic Resonance Imaging (DMRI) is the only non-invasive imaging
technique which is able to detect the principal directions of water diffusion
as well as neurites density in the human brain. Exploiting the ability of
Spherical Harmonics (SH) to model spherical functions, we propose a new
reconstruction mode... | computer science |
39,983 | Real-Time 6DOF Pose Relocalization for Event Cameras with Stacked
Spatial LSTM Networks | cs.CV | We present a new method to relocalize the 6DOF pose of an event camera solely
based on the event stream. Our method first creates the event image from a list
of events that occurs in a very short time interval, then a Stacked Spatial
LSTM Network (SP-LSTM) is used to learn the camera pose. Our SP-LSTM is
composed of a ... | computer science |
39,984 | Convolutional Sparse Coding with Overlapping Group Norms | cs.CV | The most widely used form of convolutional sparse coding uses an $\ell_1$
regularization term. While this approach has been successful in a variety of
applications, a limitation of the $\ell_1$ penalty is that it is homogeneous
across the spatial and filter index dimensions of the sparse representation
array, so that s... | computer science |
39,985 | Abnormal Event Detection in Videos using Generative Adversarial Nets | cs.CV | In this paper we address the abnormality detection problem in crowded scenes.
We propose to use Generative Adversarial Nets (GANs), which are trained using
normal frames and corresponding optical-flow images in order to learn an
internal representation of the scene normality. Since our GANs are trained with
only normal... | computer science |
39,986 | Lensless-camera based machine learning for image classification | cs.CV | Machine learning (ML) has been widely applied to image classification. Here,
we extend this application to data generated by a camera comprised of only a
standard CMOS image sensor with no lens. We first created a database of
lensless images of handwritten digits. Then, we trained a ML algorithm on this
dataset. Finall... | computer science |
39,987 | Extrinsic Parameter Calibration for Line Scanning Cameras on Ground
Vehicles with Navigation Systems Using a Calibration Pattern | cs.RO | Line scanning cameras, which capture only a single line of pixels, have been
increasingly used in ground based mobile or robotic platforms. In applications
where it is advantageous to directly georeference the camera data to world
coordinates, an accurate estimate of the camera's 6D pose is required. This
paper focuses... | computer science |
39,988 | CSSTag: Optical Nanoscale Radar and Particle Tracking for In-Body and
Microfluidic Systems with Vibrating Graphene and Resonance Energy Transfer | cs.CV | Single particle tracking systems monitor cellular processes with great
accuracy in nano-biological systems. The emissions of the fluorescent molecules
are detected with cameras or photodetectors. However, state-of-the-art imaging
systems have challenges in the detection capability, collection and analysis of
imaging da... | computer science |
39,989 | Feasibility of Corneal Imaging for Handheld Augmented Reality | cs.HC | Smartphones are a popular device class for mobile Augmented Reality but
suffer from a limited input space. Around-device interaction techniques aim at
extending this input space using various sensing modalities. In this paper we
present our work towards extending the input area of mobile devices using
front-facing devi... | computer science |
39,990 | Towards Around-Device Interaction using Corneal Imaging | cs.HC | Around-device interaction techniques aim at extending the input space using
various sensing modalities on mobile and wearable devices. In this paper, we
present our work towards extending the input area of mobile devices using
front-facing device-centered cameras that capture reflections in the human eye.
As current ge... | computer science |
39,991 | Photometric stereo for strong specular highlights | cs.CV | Photometric stereo (PS) is a fundamental technique in computer vision known
to produce 3-D shape with high accuracy. The setting of PS is defined by using
several input images of a static scene taken from one and the same camera
position but under varying illumination. The vast majority of studies in this
3-D reconstru... | computer science |
39,992 | SeDAR - Semantic Detection and Ranging: Humans can localise without
LiDAR, can robots? | cs.RO | How does a person work out their location using a floorplan? It is probably
safe to say that we do not explicitly measure depths to every visible surface
and try to match them against different pose estimates in the floorplan. And
yet, this is exactly how most robotic scan-matching algorithms operate.
Similarly, we do ... | computer science |
39,993 | Automatic Document Image Binarization using Bayesian Optimization | cs.IR | Document image binarization is often a challenging task due to various forms
of degradation. Although there exist several binarization techniques in
literature, the binarized image is typically sensitive to control parameter
settings of the employed technique. This paper presents an automatic document
image binarizatio... | computer science |
39,994 | Radial Line Fourier Descriptor for Historical Handwritten Text
Representation | cs.CV | Automatic recognition of historical handwritten manuscripts is a daunting
task due to paper degradation over time. Recognition-free retrieval or word
spotting is popularly used for information retrieval and digitization of the
historical handwritten documents. However, the performance of word spotting
algorithms depend... | computer science |
39,995 | Distributed Deep Neural Networks over the Cloud, the Edge and End
Devices | cs.CV | We propose distributed deep neural networks (DDNNs) over distributed
computing hierarchies, consisting of the cloud, the edge (fog) and end devices.
While being able to accommodate inference of a deep neural network (DNN) in the
cloud, a DDNN also allows fast and localized inference using shallow portions
of the neural... | computer science |
39,996 | Improving Sonar Image Patch Matching via Deep Learning | cs.CV | Matching sonar images with high accuracy has been a problem for a long time,
as sonar images are inherently hard to model due to reflections, noise and
viewpoint dependence. Autonomous Underwater Vehicles require good sonar image
matching capabilities for tasks such as tracking, simultaneous localization and
mapping (S... | computer science |
39,997 | Real-time convolutional networks for sonar image classification in
low-power embedded systems | cs.CV | Deep Neural Networks have impressive classification performance, but this
comes at the expense of significant computational resources at inference time.
Autonomous Underwater Vehicles use low-power embedded systems for sonar image
perception, and cannot execute large neural networks in real-time. We propose
the use of ... | computer science |
39,998 | Gravitational Clustering: A Simple, Robust and Adaptive Approach for
Distributed Networks | cs.DC | Distributed signal processing for wireless sensor networks enables that
different devices cooperate to solve different signal processing tasks. A
crucial first step is to answer the question: who observes what? Recently,
several distributed algorithms have been proposed, which frame the
signal/object labelling problem ... | computer science |
39,999 | Scalable Annotation of Fine-Grained Categories Without Experts | cs.HC | We present a crowdsourcing workflow to collect image annotations for visually
similar synthetic categories without requiring experts. In animals, there is a
direct link between taxonomy and visual similarity: e.g. a collie (type of dog)
looks more similar to other collies (e.g. smooth collie) than a greyhound
(another ... | computer science |
40,000 | Objectness Scoring and Detection Proposals in Forward-Looking Sonar
Images with Convolutional Neural Networks | cs.CV | Forward-looking sonar can capture high resolution images of underwater
scenes, but their interpretation is complex. Generic object detection in such
images has not been solved, specially in cases of small and unknown objects. In
comparison, detection proposal algorithms have produced top performing object
detectors in ... | computer science |
40,001 | Completion of High Order Tensor Data with Missing Entries via
Tensor-train Decomposition | cs.NA | In this paper, we aim at the completion problem of high order tensor data
with missing entries. The existing tensor factorization and completion methods
suffer from the curse of dimensionality when the order of tensor N>>3. To
overcome this problem, we propose an efficient algorithm called TT-WOPT
(Tensor-train Weighte... | computer science |
40,002 | Identifying Mirror Symmetry Density with Delay in Spiking Neural
Networks | cs.CV | The ability to rapidly identify symmetry and anti-symmetry is an essential
attribute of intelligence. Symmetry perception is a central process in human
vision and may be key to human 3D visualization. While previous work in
understanding neuron symmetry perception has concentrated on the neuron as an
integrator, here w... | computer science |
40,003 | Image Processing Operations Identification via Convolutional Neural
Network | cs.MM | In recent years, image forensics has attracted more and more attention, and
many forensic methods have been proposed for identifying image processing
operations. Up to now, most existing methods are based on hand crafted
features, and just one specific operation is considered in their methods. In
many forensic scenario... | computer science |
40,004 | Urban morphology meets deep learning: Exploring urban forms in one
million cities, town and villages across the planet | cs.CV | Study of urban form is an important area of research in urban planning/design
that contributes to our understanding of how cities function and evolve.
However, classical approaches are based on very limited observations and
inconsistent methods. As an alternative, availability of massive urban data
collections such as ... | computer science |
40,005 | How to Train a CAT: Learning Canonical Appearance Transformations for
Direct Visual Localization Under Illumination Change | cs.RO | Direct visual localization has recently enjoyed a resurgence in popularity
with the increasing availability of cheap mobile computing power. The
competitive accuracy and robustness of these algorithms compared to
state-of-the-art feature-based methods, as well as their natural ability to
yield dense maps, makes them an... | computer science |
40,006 | Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and
Unsupervised Semantic Localization for Intraoperative CLE Images | cs.CV | Confocal laser endomicroscopy (CLE) is an advanced optical fluorescence
technology undergoing assessment for applications in brain tumor surgery.
Despite its promising potential, interpreting the unfamiliar gray tone images
of fluorescent stains can be difficult. Many of the CLE images can be distorted
by motion, extre... | computer science |
40,007 | weedNet: Dense Semantic Weed Classification Using Multispectral Images
and MAV for Smart Farming | cs.CV | Selective weed treatment is a critical step in autonomous crop management as
related to crop health and yield. However, a key challenge is reliable, and
accurate weed detection to minimize damage to surrounding plants. In this
paper, we present an approach for dense semantic weed classification with
multispectral image... | computer science |
40,008 | PQk-means: Billion-scale Clustering for Product-quantized Codes | cs.CV | Data clustering is a fundamental operation in data analysis. For handling
large-scale data, the standard k-means clustering method is not only slow, but
also memory-inefficient. We propose an efficient clustering method for
billion-scale feature vectors, called PQk-means. By first compressing input
vectors into short p... | computer science |
40,009 | A low cost non-wearable gaze detection system based on infrared image
processing | cs.HC | Human eye gaze detection plays an important role in various fields, including
human-computer interaction, virtual reality and cognitive science. Although
different relatively accurate systems of eye tracking and gaze detection exist,
they are usually either too expensive to be bought for low cost applications or
too co... | computer science |
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