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38,710 | Polynomial time algorithms for bi-criteria, multi-objective and ratio
problems in clustering and imaging. Part I: Normalized cut and ratio regions | cs.CV | Partitioning and grouping of similar objects plays a fundamental role in
image segmentation and in clustering problems. In such problems a typical goal
is to group together similar objects, or pixels in the case of image
processing. At the same time another goal is to have each group distinctly
dissimilar from the rest... | computer science |
38,711 | Acquisition Accuracy Evaluation in Visual Inspection Systems - a
Practical Approach | cs.CV | This paper draws a proposal of a set of parameters and methods for accuracy
evaluation of visual inspection systems. The case of a monochrome board is
treated, but practically all conclusions and methods may be extended for colour
acquisition. Basically, the proposed parameters are grouped in five sets as
follows:Inter... | computer science |
38,712 | lambda-Connectedness Determination for Image Segmentation | cs.CV | Image segmentation is to separate an image into distinct homogeneous regions
belonging to different objects. It is an essential step in image analysis and
computer vision. This paper compares some segmentation technologies and
attempts to find an automated way to better determine the parameters for image
segmentation, ... | computer science |
38,713 | A Matlab Implementation of a Flat Norm Motivated Polygonal Edge Matching
Method using a Decomposition of Boundary into Four 1-Dimensional Currents | cs.CV | We describe and provide code and examples for a polygonal edge matching
method. | computer science |
38,714 | Stroke Fragmentation based on Geometry Features and HMM | cs.HC | Stroke fragmentation is one of the key steps in pen-based interaction. In
this letter, we present a unified HMM-based stroke fragmentation technique that
can do segment point location and primitive type determination simultaneously.
The geometry features included are used to evaluate local features, and the HMM
model i... | computer science |
38,715 | The Digital Restoration of Da Vinci's Sketches | cs.CV | A sketch, found in one of Leonardo da Vinci's notebooks and covered by the
written notes of this genius, has been recently restored. The restoration
reveals a possible self-portrait of the artist, drawn when he was young. Here,
we discuss the discovery of this self-portrait and the procedure used for
restoration. Actua... | computer science |
38,716 | Combinatorial Ricci Curvature and Laplacians for Image Processing | cs.CV | A new Combinatorial Ricci curvature and Laplacian operators for grayscale
images are introduced and tested on 2D synthetic, natural and medical images.
Analogue formulae for voxels are also obtained. These notions are based upon
more general concepts developed by R. Forman. Further applications, in
particular a fitting... | computer science |
38,717 | Gradient-based adaptive interpolation in super-resolution image
restoration | cs.MM | This paper presents a super-resolution method based on gradient-based
adaptive interpolation. In this method, in addition to considering the distance
between the interpolated pixel and the neighboring valid pixel, the
interpolation coefficients take the local gradient of the original image into
account. The smaller the... | computer science |
38,718 | Managing Distributed MARF with SNMP | cs.DC | The scope of this project's work focuses on the research and prototyping of
the extension of the Distributed MARF such that its services can be managed
through the most popular management protocol familiarly, SNMP. The rationale
behind SNMP vs. MARF's proprietary management protocols, is that can be
integrated with the... | computer science |
38,719 | Quality assessment of the MPEG-4 scalable video CODEC | cs.MM | In this paper, the performance of the emerging MPEG-4 SVC CODEC is evaluated.
In the first part, a brief introduction on the subject of quality assessment
and the development of the MPEG-4 SVC CODEC is given. After that, the used test
methodologies are described in detail, followed by an explanation of the actual
test ... | computer science |
38,720 | Coding cells of digital spaces: a framework to write generic digital
topology algorithms | cs.DM | This paper proposes a concise coding of the cells of n-dimensional finite
regular grids. It induces a simple, generic and efficient framework for
implementing classical digital topology data structures and algorithms.
Discrete subsets of multidimensional images (e.g. regions, digital surfaces,
cubical cell complexes) h... | computer science |
38,721 | Physical Modeling Techniques in Active Contours for Image Segmentation | cs.CV | Physical modeling method, represented by simulation and visualization of the
principles in physics, is introduced in the shape extraction of the active
contours. The objectives of adopting this concept are to address the several
major difficulties in the application of Active Contours. Primarily, a
technique is develop... | computer science |
38,722 | Image Sampling with Quasicrystals | cs.CV | We investigate the use of quasicrystals in image sampling. Quasicrystals
produce space-filling, non-periodic point sets that are uniformly discrete and
relatively dense, thereby ensuring the sample sites are evenly spread out
throughout the sampled image. Their self-similar structure can be attractive
for creating samp... | computer science |
38,723 | Distributed Object Medical Imaging Model | cs.SE | Digital medical informatics and images are commonly used in hospitals today,.
Because of the interrelatedness of the radiology department and other
departments, especially the intensive care unit and emergency department, the
transmission and sharing of medical images has become a critical issue. Our
research group has... | computer science |
38,724 | Microstructure reconstruction using entropic descriptors | cs.CV | A multi-scale approach to the inverse reconstruction of a pattern's
microstructure is reported. Instead of a correlation function, a pair of
entropic descriptors (EDs) is proposed for stochastic optimization method. The
first of them measures a spatial inhomogeneity, for a binary pattern, or
compositional one, for a gr... | computer science |
38,725 | Parallelization of the LBG Vector Quantization Algorithm for Shared
Memory Systems | cs.CV | This paper proposes a parallel approach for the Vector Quantization (VQ)
problem in image processing. VQ deals with codebook generation from the input
training data set and replacement of any arbitrary data with the nearest
codevector. Most of the efforts in VQ have been directed towards designing
parallel search algor... | computer science |
38,726 | A New Method to Extract Dorsal Hand Vein Pattern using Quadratic
Inference Function | cs.CV | Among all biometric, dorsal hand vein pattern is attracting the attention of
researchers, of late. Extensive research is being carried out on various
techniques in the hope of finding an efficient one which can be applied on
dorsal hand vein pattern to improve its accuracy and matching time. One of the
crucial step in ... | computer science |
38,727 | A New Image Steganography Based On First Component Alteration Technique | cs.MM | In this paper, A new image steganography scheme is proposed which is a kind
of spatial domain technique. In order to hide secret data in cover-image, the
first component alteration technique is used. Techniques used so far focuses
only on the two or four bits of a pixel in a image (at the most five bits at
the edge of ... | computer science |
38,728 | An Improved Image Mining Technique For Brain Tumour Classification Using
Efficient Classifier | cs.CV | An improved image mining technique for brain tumor classification using
pruned association rule with MARI algorithm is presented in this paper. The
method proposed makes use of association rule mining technique to classify the
CT scan brain images into three categories namely normal, benign and malign. It
combines the ... | computer science |
38,729 | Analytical shape determination of fiber-like objects with Virtual Image
Correlation | cs.CV | This paper reports a method allowing for the determination of the shape of
deformed fiber-like objects. Compared to existing methods, it provides
analytical results including the local slope and curvature which are of first
importance, for instance, in beam mechanics. The presented VIC (Virtual Image
Correlation) metho... | computer science |
38,730 | A Microwave Imaging and Enhancement Technique from Noisy Synthetic Data | cs.CV | An inverse iterative algorithm for microwave imaging based on moment method
solution is presented here. The iterative scheme has been developed on
constrained optimization technique and is certain to converge. Different mesh
size for the model has been used here to overcome the Inverse Crime. The
synthetic data at the ... | computer science |
38,731 | Combinatorial Continuous Maximal Flows | cs.CV | Maximum flow (and minimum cut) algorithms have had a strong impact on
computer vision. In particular, graph cuts algorithms provide a mechanism for
the discrete optimization of an energy functional which has been used in a
variety of applications such as image segmentation, stereo, image stitching and
texture synthesis... | computer science |
38,732 | Multiplierless Modules for Forward and Backward Integer Wavelet
Transform | cs.AR | This article is about the architecture of a lossless wavelet filter bank with
reprogrammable logic. It is based on second generation of wavelets with a
reduced of number of operations. A new basic structure for parallel
architecture and modules to forward and backward integer discrete wavelet
transform is proposed. | computer science |
38,733 | A Fast Statistical Method for Multilevel Thresholding in Wavelet Domain | nlin.CD | An algorithm is proposed for the segmentation of image into multiple levels
using mean and standard deviation in the wavelet domain. The procedure provides
for variable size segmentation with bigger block size around the mean, and
having smaller blocks at the ends of histogram plot of each horizontal,
vertical and diag... | computer science |
38,734 | Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem | cs.DS | This contribution extends the Bron Kerbosch algorithm for solving the maximum
weight clique problem, where continuous-valued weights are assigned to both,
vertices and edges. We applied the proposed algorithm to graph matching
problems. | computer science |
38,735 | Group Invariant Scattering | math.FA | This paper constructs translation invariant operators on L2(R^d), which are
Lipschitz continuous to the action of diffeomorphisms. A scattering propagator
is a path ordered product of non-linear and non-commuting operators, each of
which computes the modulus of a wavelet transform. A local integration defines
a windowe... | computer science |
38,736 | Content-Based Filtering for Video Sharing Social Networks | cs.CV | In this paper we compare the use of several features in the task of content
filtering for video social networks, a very challenging task, not only because
the unwanted content is related to very high-level semantic concepts (e.g.,
pornography, violence, etc.) but also because videos from social networks are
extremely a... | computer science |
38,737 | Introduction to the Bag of Features Paradigm for Image Classification
and Retrieval | cs.CV | The past decade has seen the growing popularity of Bag of Features (BoF)
approaches to many computer vision tasks, including image classification, video
search, robot localization, and texture recognition. Part of the appeal is
simplicity. BoF methods are based on orderless collections of quantized local
image descript... | computer science |
38,738 | Automated Image Processing for the Analysis of DNA Repair Dynamics | cs.CV | The efficient repair of cellular DNA is essential for the maintenance and
inheritance of genomic information. In order to cope with the high frequency of
spontaneous and induced DNA damage, a multitude of repair mechanisms have
evolved. These are enabled by a wide range of protein factors specifically
recognizing diffe... | computer science |
38,739 | A correspondence-less approach to matching of deformable shapes | cs.CV | Finding a match between partially available deformable shapes is a
challenging problem with numerous applications. The problem is usually
approached by computing local descriptors on a pair of shapes and then
establishing a point-wise correspondence between the two. In this paper, we
introduce an alternative correspond... | computer science |
38,740 | "Improved FCM algorithm for Clustering on Web Usage Mining" | cs.IR | In this paper we present clustering method is very sensitive to the initial
center values, requirements on the data set too high, and cannot handle noisy
data the proposal method is using information entropy to initialize the cluster
centers and introduce weighting parameters to adjust the location of cluster
centers a... | computer science |
38,741 | Elimination of Specular reflection and Identification of ROI: The First
Step in Automated Detection of Cervical Cancer using Digital Colposcopy | cs.CV | Cervical Cancer is one of the most common forms of cancer in women worldwide.
Most cases of cervical cancer can be prevented through screening programs aimed
at detecting precancerous lesions. During Digital Colposcopy, Specular
Reflections (SR) appear as bright spots heavily saturated with white light.
These occur due... | computer science |
38,742 | An Effect of Spatial Filtering in Visualization of Coronary Arteries
Imaging | cs.CV | At present, coronary angiography is the well known standard for the diagnosis
of coronary artery disease. Conventional coronary angiography is an invasive
procedure with a small, yet inherent risk of myocardial infarction, stroke,
potential arrhythmias, and death. Other noninvasive diagnostic tools, such as
electrocard... | computer science |
38,743 | Visualization techniques for data mining of Latur district satellite
imagery | cs.CE | This study presents a new visualization tool for classification of satellite
imagery. Visualization of feature space allows exploration of patterns in the
image data and insight into the classification process and related uncertainty.
Visual Data Mining provides added value to image classifications as the user
can be i... | computer science |
38,744 | Improving digital signal interpolation: L2-optimal kernels with
kernel-invariant interpolation speed | cs.CV | Interpolation is responsible for digital signal resampling and can
significantly degrade the original signal quality if not done properly. For
many years, optimal interpolation algorithms were sought within constrained
classes of interpolation kernel functions. We derive a new family of
unconstrained L2-optimal interpo... | computer science |
38,745 | Bayesian approach for near-duplicate image detection | cs.CV | In this paper we propose a bayesian approach for near-duplicate image
detection, and investigate how different probabilistic models affect the
performance obtained. The task of identifying an image whose metadata are
missing is often demanded for a myriad of applications: metadata retrieval in
cultural institutions, de... | computer science |
38,746 | Content-Based Spam Filtering on Video Sharing Social Networks | cs.CV | In this work we are concerned with the detection of spam in video sharing
social networks. Specifically, we investigate how much visual content-based
analysis can aid in detecting spam in videos. This is a very challenging task,
because of the high-level semantic concepts involved; of the assorted nature of
social netw... | computer science |
38,747 | Coupled quasi-harmonic bases | cs.CV | The use of Laplacian eigenbases has been shown to be fruitful in many
computer graphics applications. Today, state-of-the-art approaches to shape
analysis, synthesis, and correspondence rely on these natural harmonic bases
that allow using classical tools from harmonic analysis on manifolds. However,
many applications ... | computer science |
38,748 | A Low Cost Vision Based Hybrid Fiducial Mark Tracking Technique for
Mobile Industrial Robots | cs.CV | The field of robotic vision is developing rapidly. Robots can react
intelligently and provide assistance to user activities through sentient
computing. Since industrial applications pose complex requirements that cannot
be handled by humans, an efficient low cost and robust technique is required
for the tracking of mob... | computer science |
38,749 | Invariance of visual operations at the level of receptive fields | cs.CV | Receptive field profiles registered by cell recordings have shown that
mammalian vision has developed receptive fields tuned to different sizes and
orientations in the image domain as well as to different image velocities in
space-time. This article presents a theoretical model by which families of
idealized receptive ... | computer science |
38,750 | Discrete geodesic calculus in the space of viscous fluidic objects | math.NA | Based on a local approximation of the Riemannian distance on a manifold by a
computationally cheap dissimilarity measure, a time discrete geodesic calculus
is developed, and applications to shape space are explored. The dissimilarity
measure is derived from a deformation energy whose Hessian reproduces the
underlying R... | computer science |
38,751 | Evaluating Discussion Boards on BlackBoard as a Collaborative Learning
Tool A Students Survey and Reflections | cs.CV | In this paper, we investigate how the students think of their experience in a
junior level course that has a blackboard course presence where the students
use the discussion boards extensively. A survey is set up through blackboard as
a voluntary quiz and the student who participated were given a freebie point.
The res... | computer science |
38,752 | Video De-fencing | cs.CV | This paper describes and provides an initial solution to a novel video
editing task, i.e., video de-fencing. It targets automatic restoration of the
video clips that are corrupted by fence-like occlusions during capture. Our key
observation lies in the visual parallax between fences and background scenes,
which is caus... | computer science |
38,753 | Deconvolving Images with Unknown Boundaries Using the Alternating
Direction Method of Multipliers | math.OC | The alternating direction method of multipliers (ADMM) has recently sparked
interest as a flexible and efficient optimization tool for imaging inverse
problems, namely deconvolution and reconstruction under non-smooth convex
regularization. ADMM achieves state-of-the-art speed by adopting a divide and
conquer strategy,... | computer science |
38,754 | An anisotropy preserving metric for DTI processing | cs.CV | Statistical analysis of Diffusion Tensor Imaging (DTI) data requires a
computational framework that is both numerically tractable (to account for the
high dimensional nature of the data) and geometric (to account for the
nonlinear nature of diffusion tensors). Building upon earlier studies that have
shown that a Rieman... | computer science |
38,755 | Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior | cs.CV | Modeling crowd behavior relies on accurate data of pedestrian movements at a
high level of detail. Imaging sensors such as cameras provide a good basis for
capturing such detailed pedestrian motion data. However, currently available
computer vision technologies, when applied to conventional video footage, still
cannot ... | computer science |
38,756 | Efficient Solution to the 3D Problem of Automatic Wall Paintings
Reassembly | cs.CV | This paper introduces a new approach for the automated reconstruction -
reassembly of fragmented objects having one surface near to plane, on the basis
of the 3D representation of their constituent fragments. The whole process
starts by 3D scanning of the available fragments. The obtained representations
are properly p... | computer science |
38,757 | Three dimensional tracking of gold nanoparticles using digital
holographic microscopy | cs.CV | In this paper we present a digital holographic microscope to track gold
colloids in three dimensions. We report observations of 100nm gold particles in
motion in water. The expected signal and the chosen method of reconstruction
are described. We also discuss about how to implement the numerical calculation
to reach re... | computer science |
38,758 | Notes on image annotation | cs.CV | We are under the illusion that seeing is effortless, but frequently the
visual system is lazy and makes us believe that we understand something when in
fact we don't. Labeling a picture forces us to become aware of the difficulties
underlying scene understanding. Suddenly, the act of seeing is not effortless
anymore. W... | computer science |
38,759 | On the Role of Contrast and Regularity in Perceptual Boundary Saliency | cs.CV | Mathematical Morphology proposes to extract shapes from images as connected
components of level sets. These methods prove very suitable for shape
recognition and analysis. We present a method to select the perceptually
significant (i.e., contrasted) level lines (boundaries of level sets), using
the Helmholtz principle ... | computer science |
38,760 | Navigation domain representation for interactive multiview imaging | cs.MM | Enabling users to interactively navigate through different viewpoints of a
static scene is a new interesting functionality in 3D streaming systems. While
it opens exciting perspectives towards rich multimedia applications, it
requires the design of novel representations and coding techniques in order to
solve the new c... | computer science |
38,761 | OpenCFU, a New Free and Open-Source Software to Count Cell Colonies and
Other Circular Objects | cs.CV | Counting circular objects such as cell colonies is an important source of
information for biologists. Although this task is often time-consuming and
subjective, it is still predominantly performed manually. The aim of the
present work is to provide a new tool to enumerate circular objects from
digital pictures and vide... | computer science |
38,762 | Mugshot Identification from Manipulated Facial Images | cs.CV | Editing on digital images is ubiquitous. Identification of deliberately
modified facial images is a new challenge for face identification system. In
this paper, we address the problem of identification of a face or person from
heavily altered facial images. In this face identification problem, the input
to the system i... | computer science |
38,763 | Towards building a Crowd-Sourced Sky Map | cs.CV | We describe a system that builds a high dynamic-range and wide-angle image of
the night sky by combining a large set of input images. The method makes use of
pixel-rank information in the individual input images to improve a "consensus"
pixel rank in the combined image. Because it only makes use of ranks and the
comple... | computer science |
38,764 | Image Tag Completion by Low-rank Factorization with Dual Reconstruction
Structure Preserved | cs.CV | A novel tag completion algorithm is proposed in this paper, which is designed
with the following features: 1) Low-rank and error s-parsity: the incomplete
initial tagging matrix D is decomposed into the complete tagging matrix A and a
sparse error matrix E. However, instead of minimizing its nuclear norm, A is
further ... | computer science |
38,765 | Denosing Using Wavelets and Projections onto the L1-Ball | math.OC | Both wavelet denoising and denosing methods using the concept of sparsity are
based on soft-thresholding. In sparsity based denoising methods, it is assumed
that the original signal is sparse in some transform domains such as the
wavelet domain and the wavelet subsignals of the noisy signal are projected
onto L1-balls ... | computer science |
38,766 | Acoustic Gait-based Person Identification using Hidden Markov Models | cs.HC | We present a system for identifying humans by their walking sounds. This
problem is also known as acoustic gait recognition. The goal of the system is
to analyse sounds emitted by walking persons (mostly the step sounds) and
identify those persons. These sounds are characterised by the gait pattern and
are influenced b... | computer science |
38,767 | Replicating Kernels with a Short Stride Allows Sparse Reconstructions
with Fewer Independent Kernels | cs.CV | In sparse coding it is common to tile an image into nonoverlapping patches,
and then use a dictionary to create a sparse representation of each tile
independently. In this situation, the overcompleteness of the dictionary is the
number of dictionary elements divided by the patch size. In deconvolutional
neural networks... | computer science |
38,768 | Image patch analysis and clustering of sunspots: a dimensionality
reduction approach | cs.CV | Sunspots, as seen in white light or continuum images, are associated with
regions of high magnetic activity on the Sun, visible on magnetogram images.
Their complexity is correlated with explosive solar activity and so classifying
these active regions is useful for predicting future solar activity. Current
classificati... | computer science |
38,769 | A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning
Segmentation Module | cs.CR | Latent fingerprint has the practical value to identify the suspects who have
unintentionally left a trace of fingerprint in the crime scenes. However,
designing a fully automated latent fingerprint matcher is a very challenging
task as it needs to address many challenging issues including the separation of
overlapping ... | computer science |
38,770 | Subjective and Objective Quality Assessment of Image: A Survey | cs.MM | With the increasing demand for image-based applications, the efficient and
reliable evaluation of image quality has increased in importance. Measuring the
image quality is of fundamental importance for numerous image processing
applications, where the goal of image quality assessment (IQA) methods is to
automatically e... | computer science |
38,771 | Vessel Segmentation in Medical Imaging Using a Tight-Frame Based
Algorithm | math.NA | Tight-frame, a generalization of orthogonal wavelets, has been used
successfully in various problems in image processing, including inpainting,
impulse noise removal, super-resolution image restoration, etc. Segmentation is
the process of identifying object outlines within images. There are quite a few
efficient algori... | computer science |
38,772 | Estimating 3D Human Shapes from Measurements | cs.CV | The recent advances in 3-D imaging technologies give rise to databases of
human shapes, from which statistical shape models can be built. These
statistical models represent prior knowledge of the human shape and enable us
to solve shape reconstruction problems from partial information. Generating
human shape from tradi... | computer science |
38,773 | Beyond pixels and regions: A non local patch means (NLPM) method for
content-level restoration, enhancement, and reconstruction of degraded
document images | cs.CV | A patch-based non-local restoration and reconstruction method for
preprocessing degraded document images is introduced. The method collects
relative data from the whole input image, while the image data are first
represented by a content-level descriptor based on patches. This
patch-equivalent representation of the inp... | computer science |
38,774 | Squiggle - A Glyph Recognizer for Gesture Input | cs.HC | Squiggle is a template-based glyph recognizer in the lineage of `$1
Recognizer' and `Protractor'. It seeks a good fit linear affine mapping between
the input and template glyphs which are represented as a list of milestone
points along the glyph path. The algorithm can recognize input glyphs invariant
of rotation, scal... | computer science |
38,775 | Hypothesize and Bound: A Computational Focus of Attention Mechanism for
Simultaneous 3D Shape Reconstruction, Pose Estimation and Classification from
a Single 2D Image | cs.CV | This article presents a mathematical framework to simultaneously tackle the
problems of 3D reconstruction, pose estimation and object classification, from
a single 2D image. In sharp contrast with state of the art methods that rely
primarily on 2D information and solve each of these three problems separately
or iterati... | computer science |
38,776 | Volumetric Mapping of Genus Zero Objects via Mass Preservation | cs.CG | In this work, we present a technique to map any genus zero solid object onto
a hexahedral decomposition of a solid cube. This problem appears in many
applications ranging from finite element methods to visual tracking. From this,
one can then hopefully utilize the proposed technique for shape analysis,
registration, as... | computer science |
38,777 | Image Enhancement with Statistical Estimation | cs.MM | Contrast enhancement is an important area of research for the image analysis.
Over the decade, the researcher worked on this domain to develop an efficient
and adequate algorithm. The proposed method will enhance the contrast of image
using Binarization method with the help of Maximum Likelihood Estimation (MLE).
The p... | computer science |
38,778 | Hajj and Umrah Event Recognition Datasets | cs.CV | In this note, new Hajj and Umrah Event Recognition datasets (HUER) are
presented. The demonstrated datasets are based on videos and images taken
during 2011-2012 Hajj and Umrah seasons. HUER is the first collection of
datasets covering the six types of Hajj and Umrah ritual events (rotating in
Tawaf around Kabaa, perfo... | computer science |
38,779 | Texture Analysis And Characterization Using Probability Fractal
Descriptors | cs.CV | A gray-level image texture descriptors based on fractal dimension estimation
is proposed in this work. The proposed method estimates the fractal dimension
using probability (Voss) method. The descriptors are computed applying a
multiscale transform to the fractal dimension curves of the texture image. The
proposed text... | computer science |
38,780 | The ideal of the trifocal variety | math.AG | Techniques from representation theory, symbolic computational algebra, and
numerical algebraic geometry are used to find the minimal generators of the
ideal of the trifocal variety. An effective test for determining whether a
given tensor is a trifocal tensor is also given. | computer science |
38,781 | Pilgrims Face Recognition Dataset -- HUFRD | cs.CV | In this work, we define a new pilgrims face recognition dataset, called HUFRD
dataset. The new developed dataset presents various pilgrims' images taken from
outside the Holy Masjid El-Harram in Makkah during the 2011-2012 Hajj and Umrah
seasons. Such dataset will be used to test our developed facial recognition and
de... | computer science |
38,782 | Improvement of ISOM by using filter | cs.MM | Image compression helps in storing the transmitted data in proficient way by
decreasing its redundancy. This technique helps in transferring more digital or
multimedia data over internet as it increases the storage space. It is
important to maintain the image quality even if it is compressed to certain
extent. Depend u... | computer science |
38,783 | Efficient Prediction of DNA-Binding Proteins Using Machine Learning | cs.CV | DNA-binding proteins are a class of proteins which have a specific or general
affinity to DNA and include three important components: transcription factors;
nucleases, and histones. DNA-binding proteins also perform important roles in
many types of cellular activities. In this paper we describe machine learning
systems... | computer science |
38,784 | ROI Segmentation for Feature Extraction from Human Facial Images | cs.CV | Human Computer Interaction (HCI) is the biggest goal of computer vision
researchers. Features form the different facial images are able to provide a
very deep knowledge about the activities performed by the different facial
movements. In this paper we presented a technique for feature extraction from
various regions of... | computer science |
38,785 | Non-Local Euclidean Medians | cs.CV | In this letter, we note that the denoising performance of Non-Local Means
(NLM) at large noise levels can be improved by replacing the mean by the
Euclidean median. We call this new denoising algorithm the Non-Local Euclidean
Medians (NLEM). At the heart of NLEM is the observation that the median is more
robust to outl... | computer science |
38,786 | Content Based Multimedia Information Retrieval to Support Digital
Libraries | cs.IR | Content-based multimedia information retrieval is an interesting research
area since it allows retrieval based on inherent characteristic of multimedia
objects. For example retrieval based on visual characteristics such as colour,
shapes or textures of objects in images or retrieval based on spatial
relationships among... | computer science |
38,787 | Penalty Constraints and Kernelization of M-Estimation Based Fuzzy
C-Means | cs.CV | A framework of M-estimation based fuzzy C-means clustering (MFCM) algorithm
is proposed with iterative reweighted least squares (IRLS) algorithm, and
penalty constraint and kernelization extensions of MFCM algorithms are also
developed. Introducing penalty information to the object functions of MFCM
algorithms, the spa... | computer science |
38,788 | Autofocus Correction of Azimuth Phase Error and Residual Range Cell
Migration in Spotlight SAR Polar Format Imagery | cs.CV | Synthetic aperture radar (SAR) images are often blurred by phase
perturbations induced by uncompensated sensor motion and /or unknown
propagation effects caused by turbulent media. To get refocused images,
autofocus proves to be useful post-processing technique applied to estimate and
compensate the unknown phase error... | computer science |
38,789 | Verifying a platform for digital imaging: a multi-tool strategy | cs.SE | Fiji is a Java platform widely used by biologists and other experimental
scientists to process digital images. In particular, in our research - made
together with a biologists team; we use Fiji in some pre-processing steps
before undertaking a homological digital processing of images. In a previous
work, we have formal... | computer science |
38,790 | Classification of Segments in PolSAR Imagery by Minimum Stochastic
Distances Between Wishart Distributions | cs.CV | A new classifier for Polarimetric SAR (PolSAR) images is proposed and
assessed in this paper. Its input consists of segments, and each one is
assigned the class which minimizes a stochastic distance. Assuming the complex
Wishart model, several stochastic distances are obtained from the h-phi family
of divergences, and ... | computer science |
38,791 | Medical Information Embedding in Compressed Watermarked Intravascular
Ultrasound Video | cs.MM | In medical field, intravascular ultrasound (IVUS) is a tomographic imaging
modality, which can identify the boundaries of different layers of blood
vessels. IVUS can detect myocardial infarction (heart attack) that remains
ignored and unattended when only angioplasty is done. During the past decade,
it became easier fo... | computer science |
38,792 | Intelligent Approaches to interact with Machines using Hand Gesture
Recognition in Natural way: A Survey | cs.HC | Hand gestures recognition (HGR) is one of the main areas of research for the
engineers, scientists and bioinformatics. HGR is the natural way of Human
Machine interaction and today many researchers in the academia and industry are
working on different application to make interactions more easy, natural and
convenient w... | computer science |
38,793 | Image compression using anti-forensics method | cs.MM | A large number of image forensics methods are available which are capable of
identifying image tampering. But these techniques are not capable of addressing
the anti-forensics method which is able to hide the trace of image tampering.
In this paper anti-forensics method for digital image compression has been
proposed. ... | computer science |
38,794 | Computing Motion with 3D Memristive Grid | cs.CV | Computing the relative motion of objects is an important navigation task that
we routinely perform by relying on inherently unreliable biological cells in
the retina. The non-linear and adaptive response of memristive devices make
them excellent building blocks for realizing complex synaptic-like
architectures that are... | computer science |
38,795 | Egocentric vision IT technologies for Alzheimer disease assessment and
studies | cs.HC | Egocentric vision technology consists in capturing the actions of persons
from their own visual point of view using wearable camera sensors. We apply
this new paradigm to instrumental activities monitoring with the objective of
providing new tools for the clinical evaluation of the impact of the disease on
persons with... | computer science |
38,796 | Methods Of Measurement The Three-Dimensional Wind Waves Spectra, Based
On The Processing Of Video Images Of The Sea Surface | cs.CV | Optical instruments for measuring surface-wave characteristics provide a
better spatial and temporal resolution than other methods, but they face
difficulties while converting the results of indirect measurements into
absolute levels of the waves. We have solved this problem to some extent. In
this paper, we propose an... | computer science |
38,797 | Spatio-Temporal Covariance Descriptors for Action and Gesture
Recognition | cs.CV | We propose a new action and gesture recognition method based on
spatio-temporal covariance descriptors and a weighted Riemannian locality
preserving projection approach that takes into account the curved space formed
by the descriptors. The weighted projection is then exploited during boosting
to create a final multicl... | computer science |
38,798 | Video Face Matching using Subset Selection and Clustering of
Probabilistic Multi-Region Histograms | cs.CV | Balancing computational efficiency with recognition accuracy is one of the
major challenges in real-world video-based face recognition. A significant
design decision for any such system is whether to process and use all possible
faces detected over the video frames, or whether to select only a few "best"
faces. This pa... | computer science |
38,799 | Large-Scale Automatic Reconstruction of Neuronal Processes from Electron
Microscopy Images | cs.CV | Automated sample preparation and electron microscopy enables acquisition of
very large image data sets. These technical advances are of special importance
to the field of neuroanatomy, as 3D reconstructions of neuronal processes at
the nm scale can provide new insight into the fine grained structure of the
brain. Segme... | computer science |
38,800 | High-Accuracy Total Variation for Compressed Video Sensing | math.OC | Numerous total variation (TV) regularizers, engaged in image restoration
problem, encode the gradients by means of simple $[-1,1]$ FIR filter. Despite
its low computational processing, this filter severely deviates signal's high
frequency components pertinent to edge/discontinuous information and cause
several deficien... | computer science |
38,801 | Efficient binary tomographic reconstruction | cs.CV | Tomographic reconstruction of a binary image from few projections is
considered. A novel {\em heuristic} algorithm is proposed, the central element
of which is a nonlinear transformation $\psi(p)=\log(p/(1-p))$ of the
probability $p$ that a pixel of the sought image be 1-valued. It consists of
backprojections based on ... | computer science |
38,802 | Real-Time and Continuous Hand Gesture Spotting: an Approach Based on
Artificial Neural Networks | cs.RO | New and more natural human-robot interfaces are of crucial interest to the
evolution of robotics. This paper addresses continuous and real-time hand
gesture spotting, i.e., gesture segmentation plus gesture recognition. Gesture
patterns are recognized by using artificial neural networks (ANNs) specifically
adapted to t... | computer science |
38,803 | Contour Manifolds and Optimal Transport | math.DG | Describing shapes by suitable measures in object segmentation, as proposed in
[24], allows to combine the advantages of the representations as parametrized
contours and indicator functions. The pseudo-Riemannian structure of optimal
transport can be used to model shapes in ways similar as with contours, while
the Kanto... | computer science |
38,804 | A Non-Local Means Filter for Removing the Poisson Noise | stat.AP | A new image denoising algorithm to deal with the Poisson noise model is
given, which is based on the idea of Non-Local Mean. By using the "Oracle"
concept, we establish a theorem to show that the Non-Local Means Filter can
effectively deal with Poisson noise with some modification. Under the
theoretical result, we cons... | computer science |
38,805 | Photon counting compressive depth mapping | cs.CV | We demonstrate a compressed sensing, photon counting lidar system based on
the single-pixel camera. Our technique recovers both depth and intensity maps
from a single under-sampled set of incoherent, linear projections of a scene of
interest at ultra-low light levels around 0.5 picowatts. Only two-dimensional
reconstru... | computer science |
38,806 | An Efficient Index for Visual Search in Appearance-based SLAM | cs.CV | Vector-quantization can be a computationally expensive step in visual
bag-of-words (BoW) search when the vocabulary is large. A BoW-based appearance
SLAM needs to tackle this problem for an efficient real-time operation. We
propose an effective method to speed up the vector-quantization process in
BoW-based visual SLAM... | computer science |
38,807 | Rotationally Invariant Image Representation for Viewing Direction
Classification in Cryo-EM | cs.CV | We introduce a new rotationally invariant viewing angle classification method
for identifying, among a large number of Cryo-EM projection images, similar
views without prior knowledge of the molecule. Our rotationally invariant
features are based on the bispectrum. Each image is denoised and compressed
using steerable ... | computer science |
38,808 | Quality Control in Crowdsourced Object Segmentation | cs.CV | This paper explores processing techniques to deal with noisy data in
crowdsourced object segmentation tasks. We use the data collected with
"Click'n'Cut", an online interactive segmentation tool, and we perform several
experiments towards improving the segmentation results. First, we introduce
different superpixel-base... | computer science |
38,809 | Electron Neutrino Classification in Liquid Argon Time Projection Chamber
Detector | cs.CV | Neutrinos are one of the least known elementary particles. The detection of
neutrinos is an extremely difficult task since they are affected only by weak
sub-atomic force or gravity. Therefore large detectors are constructed to
reveal neutrino's properties. Among them the Liquid Argon Time Projection
Chamber (LAr-TPC) ... | computer science |
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