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39,110 | Performing edge detection by difference of Gaussians using q-Gaussian
kernels | cs.CV | In image processing, edge detection is a valuable tool to perform the
extraction of features from an image. This detection reduces the amount of
information to be processed, since the redundant information (considered less
relevant) can be unconsidered. The technique of edge detection consists of
determining the points... | computer science |
39,111 | Contour polygonal approximation using shortest path in networks | cs.CV | Contour polygonal approximation is a simplified representation of a contour
by line segments, so that the main characteristics of the contour remain in a
small number of line segments. This paper presents a novel method for polygonal
approximation based on the Complex Networks theory. We convert each point of
the conto... | computer science |
39,112 | Texture descriptor combining fractal dimension and artificial crawlers | cs.CV | Texture is an important visual attribute used to describe images. There are
many methods available for texture analysis. However, they do not capture the
details richness of the image surface. In this paper, we propose a new method
to describe textures using the artificial crawler model. This model assumes
that each ag... | computer science |
39,113 | On Nonrigid Shape Similarity and Correspondence | cs.CV | An important operation in geometry processing is finding the correspondences
between pairs of shapes. The Gromov-Hausdorff distance, a measure of
dissimilarity between metric spaces, has been found to be highly useful for
nonrigid shape comparison. Here, we explore the applicability of related shape
similarity measures... | computer science |
39,114 | Dictionary-Learning-Based Reconstruction Method for Electron Tomography | cs.CV | Electron tomography usually suffers from so called missing wedge artifacts
caused by limited tilt angle range. An equally sloped tomography (EST)
acquisition scheme (which should be called the linogram sampling scheme) was
recently applied to achieve 2.4-angstrom resolution. On the other hand, a
compressive sensing-ins... | computer science |
39,115 | Wavelet and Fast Fourier Transform based analysis of Solar Image | cs.CV | Both of Wavelet and Fast Fourier Transform are strong signal processing tools
in the field of Data Analysis. In this paper fast fourier transform (FFT) and
Wavelet Transform are employed to observe some important features of Solar
image (December, 2004). We have tried to find out the periodicity and coherence
of differ... | computer science |
39,116 | Real-time High Resolution Fusion of Depth Maps on GPU | cs.GR | A system for live high quality surface reconstruction using a single moving
depth camera on a commodity hardware is presented. High accuracy and real-time
frame rate is achieved by utilizing graphics hardware computing capabilities
via OpenCL and by using sparse data structure for volumetric surface
representation. Dep... | computer science |
39,117 | Glasgow's Stereo Image Database of Garments | cs.RO | To provide insight into cloth perception and manipulation with an active
binocular robotic vision system, we compiled a database of 80 stereo-pair
colour images with corresponding horizontal and vertical disparity maps and
mask annotations, for 3D garment point cloud rendering has been created and
released. The stereo-... | computer science |
39,118 | Shape from Texture using Locally Scaled Point Processes | stat.AP | Shape from texture refers to the extraction of 3D information from 2D images
with irregular texture. This paper introduces a statistical framework to learn
shape from texture where convex texture elements in a 2D image are represented
through a point process. In a first step, the 2D image is preprocessed to
generate a ... | computer science |
39,119 | A compact formula for the derivative of a 3-D rotation in exponential
coordinates | cs.CV | We present a compact formula for the derivative of a 3-D rotation matrix with
respect to its exponential coordinates. A geometric interpretation of the
resulting expression is provided, as well as its agreement with other
less-compact but better-known formulas. To the best of our knowledge, this
simpler formula does no... | computer science |
39,120 | Automatic White Blood Cell Measuring Aid for Medical Diagnosis | cs.CY | Blood related invasive pathological investigations play a major role in
diagnosis of diseases. But in India and other third world countries there are
no enough pathological infrastructures for medical diagnosis. Moreover, most of
the remote places of those countries have neither pathologists nor physicians.
Telemedicin... | computer science |
39,121 | Medical Aid for Automatic Detection of Malaria | cs.CY | The analysis and counting of blood cells in a microscope image can provide
useful information concerning to the health of a person. In particular,
morphological analysis of red blood cells deformations can effectively detect
important disease like malaria. Blood images, obtained by the microscope, which
is coupled with... | computer science |
39,122 | Region and Location Based Indexing and Retrieval of MR-T2 Brain Tumor
Images | cs.CV | In this paper, region based and location based retrieval systems have been
implemented for retrieval of MR-T2 axial 2-D brain images. This is done by
extracting and characterizing the tumor portion of 2-D brain slices by use of a
suitable threshold computed over the entire image. Indexing and retrieval is
then performe... | computer science |
39,123 | ARIANNA: pAth Recognition for Indoor Assisted NavigatioN with Augmented
perception | cs.CV | ARIANNA stands for pAth Recognition for Indoor Assisted Navigation with
Augmented perception. It is a flexible and low cost navigation system for vi-
sually impaired people. Arianna permits to navigate colored paths painted or
sticked on the floor revealing their directions through vibrational feedback on
commercial sm... | computer science |
39,124 | Teleoperation System Using Past Image Records Considering Narrow
Communication Band | cs.RO | Teleoperation is necessary when the robot is applied to real missions, for
example surveillance, search and rescue. We proposed teleoperation system using
past image records (SPIR). SPIR virtually generates the bird's-eye view image
by overlaying the CG model of the robot at the corresponding current position
on the ba... | computer science |
39,125 | Decomposition of Optical Flow on the Sphere | math.OC | We propose a number of variational regularisation methods for the estimation
and decomposition of motion fields on the $2$-sphere. While motion estimation
is based on the optical flow equation, the presented decomposition models are
motivated by recent trends in image analysis. In particular we treat $u+v$
decompositio... | computer science |
39,126 | Estimation of Human Body Shape and Posture Under Clothing | cs.CV | Estimating the body shape and posture of a dressed human subject in motion
represented as a sequence of (possibly incomplete) 3D meshes is important for
virtual change rooms and security. To solve this problem, statistical shape
spaces encoding human body shape and posture variations are commonly used to
constrain the ... | computer science |
39,127 | Evaluation of Plane Detection with RANSAC According to Density of 3D
Point Clouds | cs.RO | We have implemented a method that detects planar regions from 3D scan data
using Random Sample Consensus (RANSAC) algorithm to address the issue of a
trade-off between the scanning speed and the point density of 3D scanning.
However, the limitation of the implemented method has not been clear yet. In
this paper, we con... | computer science |
39,128 | Sparse similarity-preserving hashing | cs.CV | In recent years, a lot of attention has been devoted to efficient nearest
neighbor search by means of similarity-preserving hashing. One of the plights
of existing hashing techniques is the intrinsic trade-off between performance
and computational complexity: while longer hash codes allow for lower false
positive rates... | computer science |
39,129 | Efficient Visual Coding: From Retina To V2 | cs.CV | The human visual system has a hierarchical structure consisting of layers of
processing, such as the retina, V1, V2, etc. Understanding the functional roles
of these visual processing layers would help to integrate the
psychophysiological and neurophysiological models into a consistent theory of
human vision, and would... | computer science |
39,130 | Total variation with overlapping group sparsity for image deblurring
under impulse noise | math.NA | The total variation (TV) regularization method is an effective method for
image deblurring in preserving edges. However, the TV based solutions usually
have some staircase effects. In this paper, in order to alleviate the staircase
effect, we propose a new model for restoring blurred images with impulse noise.
The mode... | computer science |
39,131 | New explicit thresholding/shrinkage formulas for one class of
regularization problems with overlapping group sparsity and their
applications | math.NA | The least-square regression problems or inverse problems have been widely
studied in many fields such as compressive sensing, signal processing, and
image processing. To solve this kind of ill-posed problems, a regularization
term (i.e., regularizer) should be introduced, under the assumption that the
solutions have so... | computer science |
39,132 | Monte Carlo non local means: Random sampling for large-scale image
filtering | cs.CV | We propose a randomized version of the non-local means (NLM) algorithm for
large-scale image filtering. The new algorithm, called Monte Carlo non-local
means (MCNLM), speeds up the classical NLM by computing a small subset of image
patch distances, which are randomly selected according to a designed sampling
pattern. W... | computer science |
39,133 | Stopping Rules for Bag-of-Words Image Search and Its Application in
Appearance-Based Localization | cs.CV | We propose a technique to improve the search efficiency of the bag-of-words
(BoW) method for image retrieval. We introduce a notion of difficulty for the
image matching problems and propose methods that reduce the amount of
computations required for the feature vector-quantization task in BoW by
exploiting the fact tha... | computer science |
39,134 | A Novel Scheme for Generating Secure Face Templates Using BDA | cs.CV | In identity management system, frequently used biometric recognition system
needs awareness towards issue of protecting biometric template as far as more
reliable solution is apprehensive. In sight of this biometric template
protection algorithm should gratify the basic requirements viz. security,
discriminability and ... | computer science |
39,135 | Implementation of Hand Detection based Techniques for Human Computer
Interaction | cs.CV | The computer industry is developing at a fast pace. With this development
almost all of the fields under computers have advanced in the past couple of
decades. But the same technology is being used for human computer interaction
that was used in 1970s. Even today the same type of keyboard and mouse is used
for interact... | computer science |
39,136 | Theory and Application of Shapelets to the Analysis of Surface
Self-assembly Imaging | cs.CV | A method for quantitative analysis of local pattern strength and defects in
surface self-assembly imaging is presented and applied to images of stripe and
hexagonal ordered domains. The presented method uses "shapelet" functions which
were originally developed for quantitative analysis of images of galaxies
($\propto 1... | computer science |
39,137 | GPU Accelerated Fractal Image Compression for Medical Imaging in
Parallel Computing Platform | cs.DC | In this paper, we implemented both sequential and parallel version of fractal
image compression algorithms using CUDA (Compute Unified Device Architecture)
programming model for parallelizing the program in Graphics Processing Unit for
medical images, as they are highly similar within the image itself. There are
severa... | computer science |
39,138 | Real-time Decolorization using Dominant Colors | cs.GR | Decolorization is the process to convert a color image or video to its
grayscale version, and it has received great attention in recent years. An
ideal decolorization algorithm should preserve the original color contrast as
much as possible. Meanwhile, it should provide the final decolorized result as
fast as possible.... | computer science |
39,139 | Motion-Compensated Coding and Frame-Rate Up-Conversion: Models and
Analysis | cs.MM | Block-based motion estimation (ME) and compensation (MC) techniques are
widely used in modern video processing algorithms and compression systems. The
great variety of video applications and devices results in numerous compression
specifications. Specifically, there is a diversity of frame-rates and
bit-rates. In this ... | computer science |
39,140 | iPiano: Inertial Proximal Algorithm for Non-Convex Optimization | cs.CV | In this paper we study an algorithm for solving a minimization problem
composed of a differentiable (possibly non-convex) and a convex (possibly
non-differentiable) function. The algorithm iPiano combines forward-backward
splitting with an inertial force. It can be seen as a non-smooth split version
of the Heavy-ball m... | computer science |
39,141 | Bias Correction and Modified Profile Likelihood under the Wishart
Complex Distribution | cs.CV | This paper proposes improved methods for the maximum likelihood (ML)
estimation of the equivalent number of looks $L$. This parameter has a
meaningful interpretation in the context of polarimetric synthetic aperture
radar (PolSAR) images. Due to the presence of coherent illumination in their
processing, PolSAR systems ... | computer science |
39,142 | Find my mug: Efficient object search with a mobile robot using semantic
segmentation | cs.CV | In this paper, we propose an efficient semantic segmentation framework for
indoor scenes, tailored to the application on a mobile robot. Semantic
segmentation can help robots to gain a reasonable understanding of their
environment, but to reach this goal, the algorithms not only need to be
accurate, but also fast and r... | computer science |
39,143 | Proximal Iteratively Reweighted Algorithm with Multiple Splitting for
Nonconvex Sparsity Optimization | cs.NA | This paper proposes the Proximal Iteratively REweighted (PIRE) algorithm for
solving a general problem, which involves a large body of nonconvex sparse and
structured sparse related problems. Comparing with previous iterative solvers
for nonconvex sparse problem, PIRE is much more general and efficient. The
computation... | computer science |
39,144 | Code Minimization for Fringe Projection Based 3D Stereo Sensors by
Calibration Improvement | math.MG | Code minimization provides a speed-up of the processing time of fringe
projection based stereo sensors and possibly makes them real-time applicable.
This paper reports a methodology which enables such sensors to completely omit
Gray code or other additional code. Only a sequence of sinusoidal images is
necessary. The c... | computer science |
39,145 | Imaging with Kantorovich-Rubinstein discrepancy | cs.CV | We propose the use of the Kantorovich-Rubinstein norm from optimal transport
in imaging problems. In particular, we discuss a variational regularisation
model endowed with a Kantorovich-Rubinstein discrepancy term and total
variation regularization in the context of image denoising and cartoon-texture
decomposition. We... | computer science |
39,146 | A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model
and Compressed Sparse FOMFE Model | cs.CV | Orientation field, representing the fingerprint ridge structure direction,
plays a crucial role in fingerprint-related image processing tasks. Orientation
field is able to be constructed by either non-parametric or parametric methods.
In this paper, the advantages and disadvantages regarding to the existing
non-paramet... | computer science |
39,147 | The jump set under geometric regularisation. Part 1: Basic technique and
first-order denoising | math.FA | Let $u \in \mbox{BV}(\Omega)$ solve the total variation denoising problem
with $L^2$-squared fidelity and data $f$. Caselles et al. [Multiscale Model.
Simul. 6 (2008), 879--894] have shown the containment $\mathcal{H}^{m-1}(J_u
\setminus J_f)=0$ of the jump set $J_u$ of $u$ in that of $f$. Their proof
unfortunately dep... | computer science |
39,148 | PAINTER: a spatio-spectral image reconstruction algorithm for optical
interferometry | cs.CV | Astronomical optical interferometers sample the Fourier transform of the
intensity distribution of a source at the observation wavelength. Because of
rapid perturbations caused by atmospheric turbulence, the phases of the complex
Fourier samples (visibilities) cannot be directly exploited. Consequently,
specific image ... | computer science |
39,149 | Tracking Individual Targets in High Density Crowd Scenes Analysis of a
Video Recording in Hajj 2009 | cs.CV | In this paper we present a number of methods (manual, semi-automatic and
automatic) for tracking individual targets in high density crowd scenes where
thousand of people are gathered. The necessary data about the motion of
individuals and a lot of other physical information can be extracted from
consecutive image seque... | computer science |
39,150 | The jump set under geometric regularisation. Part 2: Higher-order
approaches | math.FA | In Part 1, we developed a new technique based on Lipschitz pushforwards for
proving the jump set containment property $\mathcal{H}^{m-1}(J_u \setminus
J_f)=0$ of solutions $u$ to total variation denoising. We demonstrated that the
technique also applies to Huber-regularised TV. Now, in this Part 2, we extend
the techni... | computer science |
39,151 | Compressed sensing for longitudinal MRI: An adaptive-weighted approach | cs.CV | Purpose: Repeated brain MRI scans are performed in many clinical scenarios,
such as follow up of patients with tumors and therapy response assessment. In
this paper, the authors show an approach to utilize former scans of the patient
for the acceleration of repeated MRI scans.
Methods: The proposed approach utilizes ... | computer science |
39,152 | Adaptive Image Denoising by Targeted Databases | cs.CV | We propose a data-dependent denoising procedure to restore noisy images.
Different from existing denoising algorithms which search for patches from
either the noisy image or a generic database, the new algorithm finds patches
from a database that contains only relevant patches. We formulate the denoising
problem as an ... | computer science |
39,153 | Certifying the Existence of Epipolar Matrices | cs.CV | Given a set of point correspondences in two images, the existence of a
fundamental matrix is a necessary condition for the points to be the images of
a 3-dimensional scene imaged with two pinhole cameras. If the camera
calibration is known then one requires the existence of an essential matrix.
We present an efficien... | computer science |
39,154 | Multichannel Compressive Sensing MRI Using Noiselet Encoding | cs.CV | The incoherence between measurement and sparsifying transform matrices and
the restricted isometry property (RIP) of measurement matrix are two of the key
factors in determining the performance of compressive sensing (CS). In CS-MRI,
the randomly under-sampled Fourier matrix is used as the measurement matrix and
the wa... | computer science |
39,155 | Learning Rich Features from RGB-D Images for Object Detection and
Segmentation | cs.CV | In this paper we study the problem of object detection for RGB-D images using
semantically rich image and depth features. We propose a new geocentric
embedding for depth images that encodes height above ground and angle with
gravity for each pixel in addition to the horizontal disparity. We demonstrate
that this geocen... | computer science |
39,156 | scikit-image: Image processing in Python | cs.MS | scikit-image is an image processing library that implements algorithms and
utilities for use in research, education and industry applications. It is
released under the liberal "Modified BSD" open source license, provides a
well-documented API in the Python programming language, and is developed by an
active, internatio... | computer science |
39,157 | Pushbroom Stereo for High-Speed Navigation in Cluttered Environments | cs.RO | We present a novel stereo vision algorithm that is capable of obstacle
detection on a mobile-CPU processor at 120 frames per second. Our system
performs a subset of standard block-matching stereo processing, searching only
for obstacles at a single depth. By using an onboard IMU and state-estimator,
we can recover the ... | computer science |
39,158 | Discovering Discriminative Cell Attributes for HEp-2 Specimen Image
Classification | cs.CV | Recently, there has been a growing interest in developing Computer Aided
Diagnostic (CAD) systems for improving the reliability and consistency of
pathology test results. This paper describes a novel CAD system for the
Anti-Nuclear Antibody (ANA) test via Indirect Immunofluorescence protocol on
Human Epithelial Type 2 ... | computer science |
39,159 | A New Model of Array Grammar for generating Connected Patterns on an
Image Neighborhood | cs.FL | Study of patterns on images is recognized as an important step in
characterization and classification of image. The ability to efficiently
analyze and describe image patterns is thus of fundamental importance. The
study of syntactic methods of describing pictures has been of interest for
researchers. Array Grammars can... | computer science |
39,160 | Persistent Homology in Sparse Regression and Its Application to Brain
Morphometry | stat.ME | Sparse systems are usually parameterized by a tuning parameter that
determines the sparsity of the system. How to choose the right tuning parameter
is a fundamental and difficult problem in learning the sparse system. In this
paper, by treating the the tuning parameter as an additional dimension,
persistent homological... | computer science |
39,161 | Visual Passwords Using Automatic Lip Reading | cs.CV | This paper presents a visual passwords system to increase security. The
system depends mainly on recognizing the speaker using the visual speech signal
alone. The proposed scheme works in two stages: setting the visual password
stage and the verification stage. At the setting stage the visual passwords
system request t... | computer science |
39,162 | Focused Proofreading: Efficiently Extracting Connectomes from Segmented
EM Images | cs.CV | Identifying complex neural circuitry from electron microscopic (EM) images
may help unlock the mysteries of the brain. However, identifying this circuitry
requires time-consuming, manual tracing (proofreading) due to the size and
intricacy of these image datasets, thus limiting state-of-the-art analysis to
very small b... | computer science |
39,163 | Automatic Neuron Type Identification by Neurite Localization in the
Drosophila Medulla | cs.CV | Mapping the connectivity of neurons in the brain (i.e., connectomics) is a
challenging problem due to both the number of connections in even the smallest
organisms and the nanometer resolution required to resolve them. Because of
this, previous connectomes contain only hundreds of neurons, such as in the
C.elegans conn... | computer science |
39,164 | Time-domain multiscale shape identification in electro-sensing | math.NA | This paper presents premier and innovative time-domain multi-scale method for
shape identification in electro-sensing using pulse-type signals. The method is
based on transform-invariant shape descriptors computed from filtered
polarization tensors at multi-scales. The proposed algorithm enjoys a
remarkable noise robus... | computer science |
39,165 | Design of Novel Algorithm and Architecture for Gaussian Based Color
Image Enhancement System for Real Time Applications | cs.AR | This paper presents the development of a new algorithm for Gaussian based
color image enhancement system. The algorithm has been designed into
architecture suitable for FPGA/ASIC implementation. The color image enhancement
is achieved by first convolving an original image with a Gaussian kernel since
Gaussian distribut... | computer science |
39,166 | A feasible roadmap for developing volumetric probability atlas of
localized prostate cancer | cs.CV | A statistical volumetric model, showing the probability map of localized
prostate cancer within the host anatomical structure, has been developed from
90 optically-imaged surgical specimens. This master model permits an accurate
characterization of prostate cancer distribution patterns and an atlas-informed
biopsy samp... | computer science |
39,167 | DISA at ImageCLEF 2014 Revised: Search-based Image Annotation with DeCAF
Features | cs.IR | This paper constitutes an extension to the report on DISA-MU team
participation in the ImageCLEF 2014 Scalable Concept Image Annotation Task as
published in [3]. Specifically, we introduce a new similarity search component
that was implemented into the system, report on the results achieved by
utilizing this component,... | computer science |
39,168 | Tensity Research Based on the Information of Eye Movement | cs.RO | User's mental state is concerned gradually, during the interaction course of
human robot. As the measurement and identification method of psychological
state, tension, has certain practical significance role. At presents there is
no suitable method of measuring the tension. Firstly, sum up some availability
of eye move... | computer science |
39,169 | Unified Heat Kernel Regression for Diffusion, Kernel Smoothing and
Wavelets on Manifolds and Its Application to Mandible Growth Modeling in CT
Images | cs.CV | We present a novel kernel regression framework for smoothing scalar surface
data using the Laplace-Beltrami eigenfunctions. Starting with the heat kernel
constructed from the eigenfunctions, we formulate a new bivariate kernel
regression framework as a weighted eigenfunction expansion with the heat kernel
as the weight... | computer science |
39,170 | Ctrax extensions for tracking in difficult lighting conditions | cs.CV | The fly tracking software Ctrax by Branson et al. is popular for positional
tracking of animals both within and beyond the fly community. Ctrax was not
designed to handle tracking in difficult lighting conditions with strong
shadows or recurring "on"/"off" changes in lighting - a condition that will
likely become incre... | computer science |
39,171 | Two-stage Geometric Information Guided Image Reconstruction | math.OC | In compressive sensing, it is challenging to reconstruct image of high
quality from very few noisy linear projections. Existing methods mostly work
well on piecewise constant images but not so well on piecewise smooth images
such as natural images, medical images that contain a lot of details. We
propose a two-stage me... | computer science |
39,172 | Hyper-Spectral Image Analysis with Partially-Latent Regression and
Spatial Markov Dependencies | stat.AP | Hyper-spectral data can be analyzed to recover physical properties at large
planetary scales. This involves resolving inverse problems which can be
addressed within machine learning, with the advantage that, once a relationship
between physical parameters and spectra has been established in a data-driven
fashion, the l... | computer science |
39,173 | Feature Learning from Incomplete EEG with Denoising Autoencoder | cs.CV | An alternative pathway for the human brain to communicate with the outside
world is by means of a brain computer interface (BCI). A BCI can decode
electroencephalogram (EEG) signals of brain activities, and then send a command
or an intent to an external interactive device, such as a wheelchair. The
effectiveness of th... | computer science |
39,174 | Computational Beauty: Aesthetic Judgment at the Intersection of Art and
Science | cs.CV | In part one of the Critique of Judgment, Immanuel Kant wrote that "the
judgment of taste...is not a cognitive judgment, and so not logical, but is
aesthetic."\cite{Kant} While the condition of aesthetic discernment has long
been the subject of philosophical discourse, the role of the arbiters of that
judgment has more ... | computer science |
39,175 | A unified approach for multi-object triangulation, tracking and camera
calibration | cs.CV | Object triangulation, 3-D object tracking, feature correspondence, and camera
calibration are key problems for estimation from camera networks. This paper
addresses these problems within a unified Bayesian framework for joint
multi-object tracking and sensor registration. Given that using standard
filtering approaches ... | computer science |
39,176 | Computing Topology Preservation of RBF Transformations for
Landmark-Based Image Registration | math.NA | In image registration, a proper transformation should be topology preserving.
Especially for landmark-based image registration, if the displacement of one
landmark is larger enough than those of neighbourhood landmarks, topology
violation will be occurred. This paper aim to analyse the topology preservation
of some Rad... | computer science |
39,177 | Tag Relevance Fusion for Social Image Retrieval | cs.IR | Due to the subjective nature of social tagging, measuring the relevance of
social tags with respect to the visual content is crucial for retrieving the
increasing amounts of social-networked images. Witnessing the limit of a single
measurement of tag relevance, we introduce in this paper tag relevance fusion
as an exte... | computer science |
39,178 | Building pattern recognition applications with the SPARE library | cs.CV | This paper presents the SPARE C++ library, an open source software tool
conceived to build pattern recognition and soft computing systems. The library
follows the requirement of the generality: most of the implemented algorithms
are able to process user-defined input data types transparently, such as
labeled graphs and... | computer science |
39,179 | Mobility Enhancement for Elderly | cs.CV | Loss of Mobility is a common handicap to senior citizens. It denies them the
ease of movement they would like to have like outdoor visits, movement in
hospitals, social outgoings, but more seriously in the day to day in-house
routine functions necessary for living etc. Trying to overcome this handicap by
means of serva... | computer science |
39,180 | A Regularization Approach to Blind Deblurring and Denoising of QR
Barcodes | cs.CV | QR bar codes are prototypical images for which part of the image is a priori
known (required patterns). Open source bar code readers, such as ZBar, are
readily available. We exploit both these facts to provide and assess purely
regularization-based methods for blind deblurring of QR bar codes in the
presence of noise. | computer science |
39,181 | Detecting Figures and Part Labels in Patents: Competition-Based
Development of Image Processing Algorithms | cs.CV | We report the findings of a month-long online competition in which
participants developed algorithms for augmenting the digital version of patent
documents published by the United States Patent and Trademark Office (USPTO).
The goal was to detect figures and part labels in U.S. patent drawing pages.
The challenge drew ... | computer science |
39,182 | Improved depth imaging by constrained full-waveform inversion | cs.CV | We propose a formulation of full-wavefield inversion (FWI) as a constrained
optimization problem, and describe a computationally efficient technique for
solving constrained full-wavefield inversion (CFWI). The technique is based on
using a total-variation regularization method, with the regularization weighted
in favor... | computer science |
39,183 | A method for context-based adaptive QRS clustering in real-time | cs.CV | Continuous follow-up of heart condition through long-term electrocardiogram
monitoring is an invaluable tool for diagnosing some cardiac arrhythmias. In
such context, providing tools for fast locating alterations of normal
conduction patterns is mandatory and still remains an open issue. This work
presents a real-time ... | computer science |
39,184 | A Short Image Series Based Scheme for Time Series Digital Image
Correlation | cs.CV | A new scheme for digital image correlation, i.e., short time series DIC
(STS-DIC) is proposed. Instead of processing the original deformed speckle
images individually, STS-DIC combines several adjacent deformed speckle images
from a short time series and then processes the averaged image, for which
deformation continui... | computer science |
39,185 | Super-resolution method using sparse regularization for point-spread
function recovery | cs.CV | In large-scale spatial surveys, such as the forthcoming ESA Euclid mission,
images may be undersampled due to the optical sensors sizes. Therefore, one may
consider using a super-resolution (SR) method to recover aliased frequencies,
prior to further analysis. This is particularly relevant for point-source
images, whic... | computer science |
39,186 | A Weighted Common Subgraph Matching Algorithm | cs.DS | We propose a weighted common subgraph (WCS) matching algorithm to find the
most similar subgraphs in two labeled weighted graphs. WCS matching, as a
natural generalization of the equal-sized graph matching or subgraph matching,
finds wide applications in many computer vision and machine learning tasks. In
this paper, t... | computer science |
39,187 | Simultaneous Localization, Mapping, and Manipulation for Unsupervised
Object Discovery | cs.RO | We present an unsupervised framework for simultaneous appearance-based object
discovery, detection, tracking and reconstruction using RGBD cameras and a
robot manipulator. The system performs dense 3D simultaneous localization and
mapping concurrently with unsupervised object discovery. Putative objects that
are spatia... | computer science |
39,188 | A random algorithm for low-rank decomposition of large-scale matrices
with missing entries | cs.NA | A Random SubMatrix method (RSM) is proposed to calculate the low-rank
decomposition of large-scale matrices with known entry percentage \rho. RSM is
very fast as the floating-point operations (flops) required are compared
favorably with the state-of-the-art algorithms. Meanwhile RSM is very
memory-saving. With known en... | computer science |
39,189 | Online SLAM with Any-time Self-calibration and Automatic Change
Detection | cs.CV | A framework for online simultaneous localization, mapping and
self-calibration is presented which can detect and handle significant change in
the calibration parameters. Estimates are computed in constant-time by
factoring the problem and focusing on segments of the trajectory that are most
informative for the purposes... | computer science |
39,190 | On Chord and Sagitta in ${\mathbb Z}^2$: An Analysis towards Fast and
Robust Circular Arc Detection | cs.CG | Although chord and sagitta, when considered in tandem, may reflect many
underlying geometric properties of circles on the Euclidean plane, their
implications on the digital plane are not yet well-understood. In this paper,
we explore some of their fundamental properties on the digital plane that have
a strong bearing o... | computer science |
39,191 | Applications of sampling Kantorovich operators to thermographic images
for seismic engineering | cs.CV | In this paper, we present some applications of the multivariate sampling
Kantorovich operators $S_w$ to seismic engineering. The mathematical theory of
these operators, both in the space of continuous functions and in Orlicz
spaces, show how it is possible to approximate/reconstruct multivariate
signals, such as images... | computer science |
39,192 | Gaze Stabilization for Humanoid Robots: a Comprehensive Framework | cs.RO | Gaze stabilization is an important requisite for humanoid robots. Previous
work on this topic has focused on the integration of inertial and visual
information. Little attention has been given to a third component, which is the
knowledge that the robot has about its own movement. In this work we propose a
comprehensive... | computer science |
39,193 | Structured Hough Voting for Vision-based Highway Border Detection | cs.CV | We propose a vision-based highway border detection algorithm using structured
Hough voting. Our approach takes advantage of the geometric relationship
between highway road borders and highway lane markings. It uses a strategy
where a number of trained road border and lane marking detectors are triggered,
followed by Ho... | computer science |
39,194 | Efficient Media Retrieval from Non-Cooperative Queries | cs.IR | Text is ubiquitous in the artificial world and easily attainable when it
comes to book title and author names. Using the images from the book cover set
from the Stanford Mobile Visual Search dataset and additional book covers and
metadata from openlibrary.org, we construct a large scale book cover retrieval
dataset, co... | computer science |
39,195 | Visual Noise from Natural Scene Statistics Reveals Human Scene Category
Representations | cs.CV | Our perceptions are guided both by the bottom-up information entering our
eyes, as well as our top-down expectations of what we will see. Although
bottom-up visual processing has been extensively studied, comparatively little
is known about top-down signals. Here, we describe REVEAL (Representations
Envisioned Via Evol... | computer science |
39,196 | An Automated Images-to-Graphs Framework for High Resolution Connectomics | cs.CV | Reconstructing a map of neuronal connectivity is a critical challenge in
contemporary neuroscience. Recent advances in high-throughput serial section
electron microscopy (EM) have produced massive 3D image volumes of nanoscale
brain tissue for the first time. The resolution of EM allows for individual
neurons and their... | computer science |
39,197 | Real time Detection of Lane Markers in Urban Streets | cs.CV | We present a robust and real time approach to lane marker detection in urban
streets. It is based on generating a top view of the road, filtering using
selective oriented Gaussian filters, using RANSAC line fitting to give initial
guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is
then foll... | computer science |
39,198 | Edge direction matrixes-based local binar patterns descriptor for shape
pattern recognition | cs.CV | Shapes and texture image recognition usage is an essential branch of pattern
recognition. It is made up of techniques that aim at extracting information
from images via human knowledge and works. Local Binary Pattern (LBP) ensures
encoding global and local information and scaling invariance by introducing a
look-up tab... | computer science |
39,199 | Bi-objective Optimization for Robust RGB-D Visual Odometry | cs.RO | This paper considers a new bi-objective optimization formulation for robust
RGB-D visual odometry. We investigate two methods for solving the proposed
bi-objective optimization problem: the weighted sum method (in which the
objective functions are combined into a single objective function) and the
bounded objective met... | computer science |
39,200 | Open-source code for manifold-based 3D rotation recovery of X-ray
scattering patterns | cs.CV | Single particle 3D imaging with ultrashort X-ray laser pulses is based on
collecting and combining the information content of 2D scattering patterns of
an object at different orientations. Typical sample-delivery schemes leave
little or no room for controlling the orientations. As such, the orientation
associated with ... | computer science |
39,201 | Simple pairs of points in digital spaces. Topology-preserving
transformations of digital spaces by contracting simple pairs of points | cs.DM | Transformations of digital spaces preserving local and global topology play
an important role in thinning, skeletonization and simplification of digital
images. In the present paper, we introduce and study contractions of simple
pair of points based on the notions of a digital contractible space and
contractible transf... | computer science |
39,202 | Colorisation et texturation temps réel d'environnements urbains par
système mobile avec scanner laser et caméra fish-eye | cs.RO | We present here a real time mobile mapping system mounted on a vehicle. The
terrestrial acquisition system is based on a geolocation system and two
sensors, namely, a laser scanner and a camera with a fish-eye lens. We produce
3D colored points cloud and textured models of the environment. Once the system
has been cali... | computer science |
39,203 | Statistical models and regularization strategies in statistical image
reconstruction of low-dose X-ray CT: a survey | cs.CV | Statistical image reconstruction (SIR) methods have shown potential to
substantially improve the image quality of low-dose X-ray computed tomography
(CT) as compared to the conventional filtered back-projection (FBP) method for
various clinical tasks. According to the maximum a posterior (MAP) estimation,
the SIR metho... | computer science |
39,204 | An algorithm for improving Non-Local Means operators via low-rank
approximation | cs.CV | We present a method for improving a Non Local Means operator by computing its
low-rank approximation. The low-rank operator is constructed by applying a
filter to the spectrum of the original Non Local Means operator. This results
in an operator which is less sensitive to noise while preserving important
properties of ... | computer science |
39,205 | HyperSpectral classification with adaptively weighted L1-norm
regularization and spatial postprocessing | math.OC | Sparse regression methods have been proven effective in a wide range of
signal processing problems such as image compression, speech coding, channel
equalization, linear regression and classification. In this paper a new convex
method of hyperspectral image classification is developed based on the sparse
unmixing algor... | computer science |
39,206 | Subspace based low rank and joint sparse matrix recovery | cs.NA | We consider the recovery of a low rank and jointly sparse matrix from under
sampled measurements of its columns. This problem is highly relevant in the
recovery of dynamic MRI data with high spatio-temporal resolution, where each
column of the matrix corresponds to a frame in the image time series; the
matrix is highly... | computer science |
39,207 | Real-Time Grasp Detection Using Convolutional Neural Networks | cs.RO | We present an accurate, real-time approach to robotic grasp detection based
on convolutional neural networks. Our network performs single-stage regression
to graspable bounding boxes without using standard sliding window or region
proposal techniques. The model outperforms state-of-the-art approaches by 14
percentage p... | computer science |
39,208 | Memory vectors for similarity search in high-dimensional spaces | cs.CV | We study an indexing architecture to store and search in a database of
high-dimensional vectors from the perspective of statistical signal processing
and decision theory. This architecture is composed of several memory units,
each of which summarizes a fraction of the database by a single representative
vector. The pot... | computer science |
39,209 | EgoSampling: Fast-Forward and Stereo for Egocentric Videos | cs.CV | While egocentric cameras like GoPro are gaining popularity, the videos they
capture are long, boring, and difficult to watch from start to end. Fast
forwarding (i.e. frame sampling) is a natural choice for faster video browsing.
However, this accentuates the shake caused by natural head motion, making the
fast forwarde... | computer science |
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