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23,802 | Fast Edge Detection Using Structured Forests | cs.CV | Edge detection is a critical component of many vision systems, including
object detectors and image segmentation algorithms. Patches of edges exhibit
well-known forms of local structure, such as straight lines or T-junctions. In
this paper we take advantage of the structure present in local image patches to
learn both ... | computer science |
23,803 | Interactively Test Driving an Object Detector: Estimating Performance on
Unlabeled Data | cs.CV | In this paper, we study the problem of `test-driving' a detector, i.e.
allowing a human user to get a quick sense of how well the detector generalizes
to their specific requirement. To this end, we present the first system that
estimates detector performance interactively without extensive ground truthing
using a human... | computer science |
23,804 | 3D ShapeNets: A Deep Representation for Volumetric Shapes | cs.CV | 3D shape is a crucial but heavily underutilized cue in today's computer
vision systems, mostly due to the lack of a good generic shape representation.
With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft
Kinect), it is becoming increasingly important to have a powerful 3D shape
representation ... | computer science |
23,805 | Natural Color Image Enhancement based on Modified Multiscale Retinex
Algorithm and Performance Evaluation usingWavelet Energy | cs.CV | This paper presents a new color image enhancement technique based on modified
MultiScale Retinex(MSR) algorithm and visual quality of the enhanced images are
evaluated using a new metric, namely, wavelet energy. The color image
enhancement is achieved by down sampling the value component of HSV color space
converted im... | computer science |
23,806 | CNN: Single-label to Multi-label | cs.CV | Convolutional Neural Network (CNN) has demonstrated promising performance in
single-label image classification tasks. However, how CNN best copes with
multi-label images still remains an open problem, mainly due to the complex
underlying object layouts and insufficient multi-label training images. In this
work, we prop... | computer science |
23,807 | Factors of Transferability for a Generic ConvNet Representation | cs.CV | Evidence is mounting that Convolutional Networks (ConvNets) are the most
effective representation learning method for visual recognition tasks. In the
common scenario, a ConvNet is trained on a large labeled dataset (source) and
the feed-forward units activation of the trained network, at a certain layer of
the network... | computer science |
23,808 | Offline Handwritten MODI Character Recognition Using HU, Zernike Moments
and Zoning | cs.CV | HOCR is abbreviated as Handwritten Optical Character Recognition. HOCR is a
process of recognition of different handwritten characters from a digital image
of documents. Handwritten automatic character recognition has attracted many
researchers all over the world to contribute handwritten character recognition
domain. ... | computer science |
23,809 | Incorporating Near-Infrared Information into Semantic Image Segmentation | cs.CV | Recent progress in computational photography has shown that we can acquire
near-infrared (NIR) information in addition to the normal visible (RGB) band,
with only slight modifications to standard digital cameras. Due to the
proximity of the NIR band to visible radiation, NIR images share many
properties with visible im... | computer science |
23,810 | Saccadic Eye Movements and the Generalized Pareto Distribution | cs.CV | We describe a statistical analysis of the eye tracker measurements in a
database with 15 observers viewing 1003 images under free-viewing conditions.
In contrast to the common approach of investigating the properties of the
fixation points we analyze the properties of the transition phases between
fixations. We introdu... | computer science |
23,811 | Image Completion for View Synthesis Using Markov Random Fields and
Efficient Belief Propagation | cs.CV | View synthesis is a process for generating novel views from a scene which has
been recorded with a 3-D camera setup. It has important applications in 3-D
post-production and 2-D to 3-D conversion. However, a central problem in the
generation of novel views lies in the handling of disocclusions. Background
content, whic... | computer science |
23,812 | Dense Correspondences Across Scenes and Scales | cs.CV | We seek a practical method for establishing dense correspondences between two
images with similar content, but possibly different 3D scenes. One of the
challenges in designing such a system is the local scale differences of objects
appearing in the two images. Previous methods often considered only small
subsets of ima... | computer science |
23,813 | A multilevel thresholding algorithm using Electromagnetism Optimization | cs.CV | Segmentation is one of the most important tasks in image processing. It
consist in classify the pixels into two or more groups depending on their
intensity levels and a threshold value. The quality of the segmentation depends
on the method applied to select the threshold. The use of the classical
implementations for mu... | computer science |
23,814 | Compressive Imaging and Characterization of Sparse Light Deflection Maps | cs.CV | Light rays incident on a transparent object of uniform refractive index
undergo deflections, which uniquely characterize the surface geometry of the
object. Associated with each point on the surface is a deflection map (or
spectrum) which describes the pattern of deflections in various directions.
This article presents... | computer science |
23,815 | A Bimodal Co-Sparse Analysis Model for Image Processing | cs.CV | The success of many computer vision tasks lies in the ability to exploit the
interdependency between different image modalities such as intensity and depth.
Fusing corresponding information can be achieved on several levels, and one
promising approach is the integration at a low level. Moreover, sparse signal
models ha... | computer science |
23,816 | $ N^4 $-Fields: Neural Network Nearest Neighbor Fields for Image
Transforms | cs.CV | We propose a new architecture for difficult image processing operations, such
as natural edge detection or thin object segmentation. The architecture is
based on a simple combination of convolutional neural networks with the nearest
neighbor search.
We focus our attention on the situations when the desired image
tran... | computer science |
23,817 | 3DUNDERWORLD-SLS: An Open-Source Structured-Light Scanning System for
Rapid Geometry Acquisition | cs.CV | Recently, there has been an increase in the demand of virtual 3D objects
representing real-life objects. A plethora of methods and systems have already
been proposed for the acquisition of the geometry of real-life objects ranging
from those which employ active sensor technology, passive sensor technology or
a combinat... | computer science |
23,818 | Face Image Classification by Pooling Raw Features | cs.CV | We propose a very simple, efficient yet surprisingly effective feature
extraction method for face recognition (about 20 lines of Matlab code), which
is mainly inspired by spatial pyramid pooling in generic image classification.
We show that features formed by simply pooling local patches over a multi-level
pyramid, cou... | computer science |
23,819 | Face Identification with Second-Order Pooling | cs.CV | Automatic face recognition has received significant performance improvement
by developing specialised facial image representations. On the other hand,
generic object recognition has rarely been applied to the face recognition.
Spatial pyramid pooling of features encoded by an over-complete dictionary has
been the key c... | computer science |
23,820 | An improved computer vision method for detecting white blood cells | cs.CV | The automatic detection of White Blood Cells (WBC) still remains as an
unsolved issue in medical imaging. The analysis of WBC images has engaged
researchers from fields of medicine and computer vision alike. Since WBC can be
approximated by an ellipsoid form, an ellipse detector algorithm may be
successfully applied in... | computer science |
23,821 | Deep Learning Multi-View Representation for Face Recognition | cs.CV | Various factors, such as identities, views (poses), and illuminations, are
coupled in face images. Disentangling the identity and view representations is
a major challenge in face recognition. Existing face recognition systems either
use handcrafted features or learn features discriminatively to improve
recognition acc... | computer science |
23,822 | How good are detection proposals, really? | cs.CV | Current top performing Pascal VOC object detectors employ detection proposals
to guide the search for objects thereby avoiding exhaustive sliding window
search across images. Despite the popularity of detection proposals, it is
unclear which trade-offs are made when using them during object detection. We
provide an in ... | computer science |
23,823 | Adaptive Mesh Representation and Restoration of Biomedical Images | cs.CV | The triangulation of images has become an active research area in recent
years for its compressive representation and ease of image processing and
visualization. However, little work has been done on how to faithfully recover
image intensities from a triangulated mesh of an image, a process also known as
image restorat... | computer science |
23,824 | Adaptive texture energy measure method | cs.CV | Recent developments in image quality, data storage, and computational
capacity have heightened the need for texture analysis in image process. To
date various methods have been developed and introduced for assessing textures
in images. One of the most popular texture analysis methods is the Texture
Energy Measure (TEM)... | computer science |
23,825 | 3D planar patch extraction from stereo using probabilistic region
growing | cs.CV | This article presents a novel 3D planar patch extraction method using a
probabilistic region growing algorithm. Our method works by simultaneously
initiating multiple planar patches from seed points, the latter determined by
an intensity-based 2D segmentation algorithm in the stereo-pair images. The
patches are grown i... | computer science |
23,826 | Template Matching based Object Detection Using HOG Feature Pyramid | cs.CV | This article provides a step by step development of designing a Object
Detection scheme using the HOG based Feature Pyramid aligned with the concept
of Template Matching. | computer science |
23,827 | On a new formulation of nonlocal image filters involving the relative
rearrangement | cs.CV | Nonlocal filters are simple and powerful techniques for image denoising. In
this paper we study the reformulation of a broad class of nonlocal filters in
terms of two functional rearrangements: the decreasing and the relative
rearrangements.
Independently of the dimension of the image, we reformulate these filters as... | computer science |
23,828 | A framework for improving the performance of verification algorithms
with a low false positive rate requirement and limited training data | cs.CV | In this paper we address the problem of matching patterns in the so-called
verification setting in which a novel, query pattern is verified against a
single training pattern: the decision sought is whether the two match (i.e.
belong to the same class) or not. Unlike previous work which has universally
focused on the de... | computer science |
23,829 | Fusion Based Holistic Road Scene Understanding | cs.CV | This paper addresses the problem of holistic road scene understanding based
on the integration of visual and range data. To achieve the grand goal, we
propose an approach that jointly tackles object-level image segmentation and
semantic region labeling within a conditional random field (CRF) framework.
Specifically, we... | computer science |
23,830 | An Efficient Codebook Initialization Approach for LBG Algorithm | cs.CV | In VQ based image compression technique has three major steps namely (i)
Codebook Design, (ii) VQ Encoding Process and (iii) VQ Decoding Process. The
performance of VQ based image compression technique depends upon the
constructed codebook. A widely used technique for VQ codebook design is the
Linde-Buzo-Gray (LBG) alg... | computer science |
23,831 | Automatic Application Level Set Approach in Detection Calcifications in
Mammographic Image | cs.CV | Breast cancer is considered as one of a major health problem that constitutes
the strongest cause behind mortality among women in the world. So, in this
decade, breast cancer is the second most common type of cancer, in term of
appearance frequency, and the fifth most common cause of cancer related death.
In order to r... | computer science |
23,832 | Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank
Representation | cs.CV | Object detection is a fundamental step for automated video analysis in many
vision applications. Object detection in a video is usually performed by object
detectors or background subtraction techniques. Often, an object detector
requires manually labeled examples to train a binary classifier, while
background subtract... | computer science |
23,833 | Toward Designing Intelligent PDEs for Computer Vision: An Optimal
Control Approach | cs.CV | Many computer vision and image processing problems can be posed as solving
partial differential equations (PDEs). However, designing PDE system usually
requires high mathematical skills and good insight into the problems. In this
paper, we consider designing PDEs for various problems arising in computer
vision and imag... | computer science |
23,834 | Automatic Diagnosis of Abnormal Tumor Region from Brain Computed
Tomography Images Using Wavelet Based Statistical Texture Features | cs.CV | The research work presented in this paper is to achieve the tissue
classification and automatically diagnosis the abnormal tumor region present in
Computed Tomography (CT) images using the wavelet based statistical texture
analysis method. Comparative studies of texture analysis method are performed
for the proposed wa... | computer science |
23,835 | An Automatic Clustering Technique for Optimal Clusters | cs.CV | This paper proposes a simple, automatic and efficient clustering algorithm,
namely, Automatic Merging for Optimal Clusters (AMOC) which aims to generate
nearly optimal clusters for the given datasets automatically. The AMOC is an
extension to standard k-means with a two phase iterative procedure combining
certain valid... | computer science |
23,836 | Devnagari document segmentation using histogram approach | cs.CV | Document segmentation is one of the critical phases in machine recognition of
any language. Correct segmentation of individual symbols decides the accuracy
of character recognition technique. It is used to decompose image of a sequence
of characters into sub images of individual symbols by segmenting lines and
words. D... | computer science |
23,837 | Curvature Prior for MRF-based Segmentation and Shape Inpainting | cs.CV | Most image labeling problems such as segmentation and image reconstruction
are fundamentally ill-posed and suffer from ambiguities and noise. Higher order
image priors encode high level structural dependencies between pixels and are
key to overcoming these problems. However, these priors in general lead to
computationa... | computer science |
23,838 | Progressive versus Random Projections for Compressive Capture of Images,
Lightfields and Higher Dimensional Visual Signals | cs.CV | Computational photography involves sophisticated capture methods. A new trend
is to capture projection of higher dimensional visual signals such as videos,
multi-spectral data and lightfields on lower dimensional sensors. Carefully
designed capture methods exploit the sparsity of the underlying signal in a
transformed ... | computer science |
23,839 | Multi-Hypothesis CRF-Segmentation of Neural Tissue in Anisotropic EM
Volumes | cs.CV | We present an approach for the joint segmentation and grouping of similar
components in anisotropic 3D image data and use it to segment neural tissue in
serial sections electron microscopy (EM) images.
We first construct a nested set of neuron segmentation hypotheses for each
slice. A conditional random field (CRF) t... | computer science |
23,840 | A Non-Iterative Solution to the Four-Point Three-Views Pose Problem in
Case of Collinear Cameras | cs.CV | We give a non-iterative solution to a particular case of the four-point
three-views pose problem when three camera centers are collinear. Using the
well-known Cayley representation of orthogonal matrices, we derive from the
epipolar constraints a system of three polynomial equations in three variables.
The eliminant of... | computer science |
23,841 | Design of an Optical Character Recognition System for Camera-based
Handheld Devices | cs.CV | This paper presents a complete Optical Character Recognition (OCR) system for
camera captured image/graphics embedded textual documents for handheld devices.
At first, text regions are extracted and skew corrected. Then, these regions
are binarized and segmented into lines and characters. Characters are passed
into the... | computer science |
23,842 | Connectivity-Enforcing Hough Transform for the Robust Extraction of Line
Segments | cs.CV | Global voting schemes based on the Hough transform (HT) have been widely used
to robustly detect lines in images. However, since the votes do not take line
connectivity into account, these methods do not deal well with cluttered
images. In opposition, the so-called local methods enforce connectivity but
lack robustness... | computer science |
23,843 | Generalised Object Detection and Semantic Analysis: Casino Example using
Matlab | cs.CV | Matlab version 7.1 had been used to detect playing cards on a Casino table
and the suits and ranks of these cards had been identified. The process gives
an example of an application of computer vision to a problem where rectangular
objects are to be detected and the information content of the objects are
extracted out.... | computer science |
23,844 | On the digital homology groups of digital images | cs.CV | In this article we study the digital homology groups of digital images which
are based on the singular homology groups of topological spaces in algebraic
topology. Specifically, we define a digitally standard $n$-simplex, a digitally
singular $n$-simplex, and the digital homology groups of digital images with
$k$-adjac... | computer science |
23,845 | Detachable Object Detection: Segmentation and Depth Ordering From
Short-Baseline Video | cs.CV | We describe an approach for segmenting an image into regions that correspond
to surfaces in the scene that are partially surrounded by the medium. It
integrates both appearance and motion statistics into a cost functional, that
is seeded with occluded regions and minimized efficiently by solving a linear
programming pr... | computer science |
23,846 | Probabilistic prototype models for attributed graphs | cs.CV | This contribution proposes a new approach towards developing a class of
probabilistic methods for classifying attributed graphs. The key concept is
random attributed graph, which is defined as an attributed graph whose nodes
and edges are annotated by random variables. Every node/edge has two random
processes associate... | computer science |
23,847 | Sparse Online Low-Rank Projection and Outlier Rejection (SOLO) for 3-D
Rigid-Body Motion Registration | cs.CV | Motivated by an emerging theory of robust low-rank matrix representation, in
this paper, we introduce a novel solution for online rigid-body motion
registration. The goal is to develop algorithmic techniques that enable a
robust, real-time motion registration solution suitable for low-cost, portable
3-D camera devices.... | computer science |
23,848 | Improvements on "Fast space-variant elliptical filtering using box
splines" | cs.CV | It is well-known that box filters can be efficiently computed using
pre-integrations and local finite-differences
[Crow1984,Heckbert1986,Viola2001]. By generalizing this idea and by combining
it with a non-standard variant of the Central Limit Theorem, a constant-time or
O(1) algorithm was proposed in [Chaudhury2010] t... | computer science |
23,849 | Posterior Mean Super-resolution with a Causal Gaussian Markov Random
Field Prior | cs.CV | We propose a Bayesian image super-resolution (SR) method with a causal
Gaussian Markov random field (MRF) prior. SR is a technique to estimate a
spatially high-resolution image from given multiple low-resolution images. An
MRF model with the line process supplies a preferable prior for natural images
with edges. We imp... | computer science |
23,850 | ABHIVYAKTI: A Vision Based Intelligent System for Elder and Sick Persons | cs.CV | This paper describes an intelligent system ABHIVYAKTI, which would be
pervasive in nature and based on the Computer Vision. It would be very easy in
use and deployment. Elder and sick people who are not able to talk or walk,
they are dependent on other human beings and need continuous monitoring, while
our system provi... | computer science |
23,851 | A Novel comprehensive method for real time Video Motion Detection
Surveillance | cs.CV | This article describes a comprehensive system for surveillance and monitoring
applications. The development of an efficient real time video motion detection
system is motivated by their potential for deployment in the areas where
security is the main concern. The paper presents a platform for real time video
motion det... | computer science |
23,852 | DBC based Face Recognition using DWT | cs.CV | The applications using face biometric has proved its reliability in last
decade. In this paper, we propose DBC based Face Recognition using DWT (DBC-
FR) model. The Poly-U Near Infra Red (NIR) database images are scanned and
cropped to get only the face part in pre-processing. The face part is resized
to 100*100 and DW... | computer science |
23,853 | M-FISH Karyotyping - A New Approach Based on Watershed Transform | cs.CV | Karyotyping is a process in which chromosomes in a dividing cell are properly
stained, identified and displayed in a standard format, which helps geneticist
to study and diagnose genetic factors behind various genetic diseases and for
studying cancer. M-FISH (Multiplex Fluorescent In-Situ Hybridization) provides
color ... | computer science |
23,854 | Discrimination of English to other Indian languages (Kannada and Hindi)
for OCR system | cs.CV | India is a multilingual multi-script country. In every state of India there
are two languages one is state local language and the other is English. For
example in Andhra Pradesh, a state in India, the document may contain text
words in English and Telugu script. For Optical Character Recognition (OCR) of
such a bilingu... | computer science |
23,855 | Are visual dictionaries generalizable? | cs.CV | Mid-level features based on visual dictionaries are today a cornerstone of
systems for classification and retrieval of images. Those state-of-the-art
representations depend crucially on the choice of a codebook (visual
dictionary), which is usually derived from the dataset. In general-purpose,
dynamic image collections... | computer science |
23,856 | Efficient Topology-Controlled Sampling of Implicit Shapes | cs.CV | Sampling from distributions of implicitly defined shapes enables analysis of
various energy functionals used for image segmentation. Recent work describes a
computationally efficient Metropolis-Hastings method for accomplishing this
task. Here, we extend that framework so that samples are accepted at every
iteration of... | computer science |
23,857 | Optimal Weights Mixed Filter for Removing Mixture of Gaussian and
Impulse Noises | cs.CV | According to the character of Gaussian, we modify the Rank-Ordered Absolute
Differences (ROAD) to Rank-Ordered Absolute Differences of mixture of Gaussian
and impulse noises (ROADG). It will be more effective to detect impulse noise
when the impulse is mixed with Gaussian noise. Combining rightly the ROADG with
Optimal... | computer science |
23,858 | Fuzzy - Rough Feature Selection With Π- Membership Function For
Mammogram Classification | cs.CV | Breast cancer is the second leading cause for death among women and it is
diagnosed with the help of mammograms. Oncologists are miserably failed in
identifying the micro calcification at the early stage with the help of the
mammogram visually. In order to improve the performance of the breast cancer
screening, most of... | computer science |
23,859 | Spectral Graph Cut from a Filtering Point of View | cs.CV | Spectral graph theory is well known and widely used in computer vision. In
this paper, we analyze image segmentation algorithms that are based on spectral
graph theory, e.g., normalized cut, and show that there is a natural connection
between spectural graph theory based image segmentationand and edge preserving
filter... | computer science |
23,860 | Gray Level Co-Occurrence Matrices: Generalisation and Some New Features | cs.CV | Gray Level Co-occurrence Matrices (GLCM) are one of the earliest techniques
used for image texture analysis. In this paper we defined a new feature called
trace extracted from the GLCM and its implications in texture analysis are
discussed in the context of Content Based Image Retrieval (CBIR). The
theoretical extensio... | computer science |
23,861 | Neural Network Approach for Eye Detection | cs.CV | Driving support systems, such as car navigation systems are becoming common
and they support driver in several aspects. Non-intrusive method of detecting
Fatigue and drowsiness based on eye-blink count and eye directed instruction
controlhelps the driver to prevent from collision caused by drowsy driving. Eye
detection... | computer science |
23,862 | Linearized Alternating Direction Method with Adaptive Penalty and Warm
Starts for Fast Solving Transform Invariant Low-Rank Textures | cs.CV | Transform Invariant Low-rank Textures (TILT) is a novel and powerful tool
that can effectively rectify a rich class of low-rank textures in 3D scenes
from 2D images despite significant deformation and corruption. The existing
algorithm for solving TILT is based on the alternating direction method (ADM).
It suffers from... | computer science |
23,863 | Locally Orderless Registration | cs.CV | Image registration is an important tool for medical image analysis and is
used to bring images into the same reference frame by warping the coordinate
field of one image, such that some similarity measure is minimized. We study
similarity in image registration in the context of Locally Orderless Images
(LOI), which is ... | computer science |
23,864 | Generalized sequential tree-reweighted message passing | cs.CV | This paper addresses the problem of approximate MAP-MRF inference in general
graphical models. Following [36], we consider a family of linear programming
relaxations of the problem where each relaxation is specified by a set of
nested pairs of factors for which the marginalization constraint needs to be
enforced. We de... | computer science |
23,865 | A Brief Summary of Dictionary Learning Based Approach for Classification | cs.CV | This note presents some representative methods which are based on dictionary
learning (DL) for classification. We do not review the sophisticated methods or
frameworks that involve DL for classification, such as online DL and spatial
pyramid matching (SPM), but rather, we concentrate on the direct DL-based
classificati... | computer science |
23,866 | An Unsupervised Dynamic Image Segmentation using Fuzzy Hopfield Neural
Network based Genetic Algorithm | cs.CV | This paper proposes a Genetic Algorithm based segmentation method that can
automatically segment gray-scale images. The proposed method mainly consists of
spatial unsupervised grayscale image segmentation that divides an image into
regions. The aim of this algorithm is to produce precise segmentation of images
using in... | computer science |
23,867 | Template-Cut: A Pattern-Based Segmentation Paradigm | cs.CV | We present a scale-invariant, template-based segmentation paradigm that sets
up a graph and performs a graph cut to separate an object from the background.
Typically graph-based schemes distribute the nodes of the graph uniformly and
equidistantly on the image, and use a regularizer to bias the cut towards a
particular... | computer science |
23,868 | Fingerprint Gender Classification using Wavelet Transform and Singular
Value Decomposition | cs.CV | A novel method of gender Classification from fingerprint is proposed based on
discrete wavelet transform (DWT) and singular value decomposition (SVD). The
classification is achieved by extracting the energy computed from all the
sub-bands of DWT combined with the spatial features of non-zero singular values
obtained fr... | computer science |
23,869 | Anatomical Structure Segmentation in Liver MRI Images | cs.CV | Segmentation of medical images is a challenging task owing to their
complexity. A standard segmentation problem within Magnetic Resonance Imaging
(MRI) is the task of labeling voxels according to their tissue type. Image
segmentation provides volumetric quantification of liver area and thus helps in
the diagnosis of di... | computer science |
23,870 | A Fast Projected Fixed-Point Algorithm for Large Graph Matching | cs.CV | We propose a fast approximate algorithm for large graph matching. A new
projected fixed-point method is defined and a new doubly stochastic projection
is adopted to derive the algorithm. Previous graph matching algorithms suffer
from high computational complexity and therefore do not have good scalability
with respect ... | computer science |
23,871 | An Innovative Skin Detection Approach Using Color Based Image Retrieval
Technique | cs.CV | From The late 90th, "Skin Detection" becomes one of the major problems in
image processing. If "Skin Detection" will be done in high accuracy, it can be
used in many cases as face recognition, Human Tracking and etc. Until now so
many methods were presented for solving this problem. In most of these methods,
color spac... | computer science |
23,872 | Analysis of Multi-Scale Fractal Dimension to Classify Human Motion | cs.CV | In recent years there has been considerable interest in human action
recognition. Several approaches have been developed in order to enhance the
automatic video analysis. Although some developments have been achieved by the
computer vision community, the properly classification of human motion is still
a hard and chall... | computer science |
23,873 | Spatial And Spectral Quality Evaluation Based On Edges Regions Of
Satellite Image Fusion | cs.CV | The Quality of image fusion is an essential determinant of the value of
processing images fusion for many applications. Spatial and spectral qualities
are the two important indexes that used to evaluate the quality of any fused
image. However, the jury is still out of fused image's benefits if it compared
with its orig... | computer science |
23,874 | Cups Products in Z2-Cohomology of 3D Polyhedral Complexes | cs.CV | Let $I=(\mathbb{Z}^3,26,6,B)$ be a 3D digital image, let $Q(I)$ be the
associated cubical complex and let $\partial Q(I)$ be the subcomplex of $Q(I)$
whose maximal cells are the quadrangles of $Q(I)$ shared by a voxel of $B$ in
the foreground -- the object under study -- and by a voxel of
$\mathbb{Z}^3\smallsetminus B$... | computer science |
23,875 | A Multi-Agents Architecture to Learn Vision Operators and their
Parameters | cs.CV | In a vision system, every task needs that the operators to apply should be
{\guillemotleft} well chosen {\guillemotright} and their parameters should be
also {\guillemotleft} well adjusted {\guillemotright}. The diversity of
operators and the multitude of their parameters constitute a big challenge for
users. As it is ... | computer science |
23,876 | Face Recognition Algorithms based on Transformed Shape Features | cs.CV | Human face recognition is, indeed, a challenging task, especially under the
illumination and pose variations. We examine in the present paper effectiveness
of two simple algorithms using coiflet packet and Radon transforms to recognize
human faces from some databases of still gray level images, under the
environment of... | computer science |
23,877 | A Novel Approach Coloured Object Tracker with Adaptive Model and
Bandwidth using Mean Shift Algorithm | cs.CV | The traditional color-based mean-shift tracking algorithm is popular among
tracking methods due to its simple and efficient procedure, however, the lack
of dynamism in its target model makes it unsuitable for tracking objects which
have changes in their sizes and shapes. In this paper, we propose a fast novel
threephas... | computer science |
23,878 | Camera identification by grouping images from database, based on shared
noise patterns | cs.CV | Previous research showed that camera specific noise patterns, so-called
PRNU-patterns, are extracted from images and related images could be found. In
this particular research the focus is on grouping images from a database, based
on a shared noise pattern as an identification method for cameras. Using the
method as de... | computer science |
23,879 | Color Constancy based on Image Similarity via Bilayer Sparse Coding | cs.CV | Computational color constancy is a very important topic in computer vision
and has attracted many researchers' attention. Recently, lots of research has
shown the effects of high level visual content information for illumination
estimation. However, all of these existing methods are essentially
combinational strategies... | computer science |
23,880 | Deconvolution of vibroacoustic images using a simulation model based on
a three dimensional point spread function | cs.CV | Vibro-acoustography (VA) is a medical imaging method based on the
difference-frequency generation produced by the mixture of two focused
ultrasound beams. VA has been applied to different problems in medical imaging
such as imaging bones, microcalcifications in the breast, mass lesions, and
calcified arteries. The obta... | computer science |
23,881 | HMRF-EM-image: Implementation of the Hidden Markov Random Field Model
and its Expectation-Maximization Algorithm | cs.CV | In this project, we study the hidden Markov random field (HMRF) model and its
expectation-maximization (EM) algorithm. We implement a MATLAB toolbox named
HMRF-EM-image for 2D image segmentation using the HMRF-EM framework. This
toolbox also implements edge-prior-preserving image segmentation, and can be
easily reconfi... | computer science |
23,882 | Kernel Principal Component Analysis and its Applications in Face
Recognition and Active Shape Models | cs.CV | Principal component analysis (PCA) is a popular tool for linear
dimensionality reduction and feature extraction. Kernel PCA is the nonlinear
form of PCA, which better exploits the complicated spatial structure of
high-dimensional features. In this paper, we first review the basic ideas of
PCA and kernel PCA. Then we fo... | computer science |
23,883 | Hierarchical Approach for Total Variation Digital Image Inpainting | cs.CV | The art of recovering an image from damage in an undetectable form is known
as inpainting. The manual work of inpainting is most often a very time
consuming process. Due to digitalization of this technique, it is automatic and
faster. In this paper, after the user selects the regions to be reconstructed,
the algorithm ... | computer science |
23,884 | Recovering Articulated Object Models from 3D Range Data | cs.CV | We address the problem of unsupervised learning of complex articulated object
models from 3D range data. We describe an algorithm whose input is a set of
meshes corresponding to different configurations of an articulated object. The
algorithm automatically recovers a decomposition of the object into
approximately rigid... | computer science |
23,885 | Probabilistic index maps for modeling natural signals | cs.CV | One of the major problems in modeling natural signals is that signals with
very similar structure may locally have completely different measurements,
e.g., images taken under different illumination conditions, or the speech
signal captured in different environments. While there have been many
successful attempts to add... | computer science |
23,886 | Assessment of SAR Image Filtering using Adaptive Stack Filters | cs.CV | Stack filters are a special case of non-linear filters. They have a good
performance for filtering images with different types of noise while preserving
edges and details. A stack filter decomposes an input image into several binary
images according to a set of thresholds. Each binary image is then filtered by
a Boolea... | computer science |
23,887 | Multisegmentation through wavelets: Comparing the efficacy of Daubechies
vs Coiflets | cs.CV | In this paper, we carry out a comparative study of the efficacy of wavelets
belonging to Daubechies and Coiflet family in achieving image segmentation
through a fast statistical algorithm.The fact that wavelets belonging to
Daubechies family optimally capture the polynomial trends and those of Coiflet
family satisfy mi... | computer science |
23,888 | A Novel Metric Approach Evaluation For The Spatial Enhancement Of
Pan-Sharpened Images | cs.CV | Various and different methods can be used to produce high-resolution
multispectral images from high-resolution panchromatic image (PAN) and
low-resolution multispectral images (MS), mostly on the pixel level. The
Quality of image fusion is an essential determinant of the value of processing
images fusion for many appli... | computer science |
23,889 | Piecewise Linear Patch Reconstruction for Segmentation and Description
of Non-smooth Image Structures | cs.CV | In this paper, we propose a unified energy minimization model for the
segmentation of non-smooth image structures. The energy of piecewise linear
patch reconstruction is considered as an objective measure of the quality of
the segmentation of non-smooth structures. The segmentation is achieved by
minimizing the single ... | computer science |
23,890 | A Survey Of Activity Recognition And Understanding The Behavior In Video
Survelliance | cs.CV | This paper presents a review of human activity recognition and behaviour
understanding in video sequence. The key objective of this paper is to provide
a general review on the overall process of a surveillance system used in the
current trend. Visual surveillance system is directed on automatic
identification of events... | computer science |
23,891 | Visual Vocabulary Learning and Its Application to 3D and Mobile Visual
Search | cs.CV | In this technical report, we review related works and recent trends in visual
vocabulary based web image search, object recognition, mobile visual search,
and 3D object retrieval. Especial focuses would be also given for the recent
trends in supervised/unsupervised vocabulary optimization, compact descriptor
for visual... | computer science |
23,892 | Scale Selection of Adaptive Kernel Regression by Joint Saliency Map for
Nonrigid Image Registration | cs.CV | Joint saliency map (JSM) [1] was developed to assign high joint saliency
values to the corresponding saliency structures (called Joint Saliency
Structures, JSSs) but zero or low joint saliency values to the outliers (or
mismatches) that are introduced by missing correspondence or local large
deformations between the re... | computer science |
23,893 | Multiple Kernel Sparse Representations for Supervised and Unsupervised
Learning | cs.CV | In complex visual recognition tasks it is typical to adopt multiple
descriptors, that describe different aspects of the images, for obtaining an
improved recognition performance. Descriptors that have diverse forms can be
fused into a unified feature space in a principled manner using kernel methods.
Sparse models that... | computer science |
23,894 | Omega Model for Human Detection and Counting for application in Smart
Surveillance System | cs.CV | Driven by the significant advancements in technology and social issues such
as security management, there is a strong need for Smart Surveillance System in
our society today. One of the key features of a Smart Surveillance System is
efficient human detection and counting such that the system can decide and
label events... | computer science |
23,895 | Indian Sign Language Recognition Using Eigen Value Weighted Euclidean
Distance Based Classification Technique | cs.CV | Sign Language Recognition is one of the most growing fields of research
today. Many new techniques have been developed recently in these fields. Here
in this paper, we have proposed a system using Eigen value weighted Euclidean
distance as a classification technique for recognition of various Sign
Languages of India. T... | computer science |
23,896 | Recognition of Facial Expression Using Eigenvector Based Distributed
Features and Euclidean Distance Based Decision Making Technique | cs.CV | In this paper, an Eigenvector based system has been presented to recognize
facial expressions from digital facial images. In the approach, firstly the
images were acquired and cropping of five significant portions from the image
was performed to extract and store the Eigenvectors specific to the
expressions. The Eigenv... | computer science |
23,897 | Automatic symmetry based cluster approach for anomalous brain
identification in PET scan image : An Analysis | cs.CV | Medical image segmentation is referred to the segmentation of known anatomic
structures from different medical images. Normally, the medical data researches
are more complicated and an exclusive structures. This computer aided diagnosis
is used for assisting doctors in evaluating medical imagery or in recognizing
abnor... | computer science |
23,898 | Symmetry Based Cluster Approach for Automatic Recognition of the
Epileptic Focus in Brain Using PET Scan Image : An Analysis | cs.CV | Recognition of epileptic focal point is the important diagnosis when
screening the epilepsy patients for latent surgical cures. The accurate
localization is challenging one because of the low spatial resolution images
with more noisy data. Positron Emission Tomography (PET) has now replaced the
issues and caring a high... | computer science |
23,899 | Spatial Fuzzy C Means PET Image Segmentation of Neurodegenerative
Disorder | cs.CV | Nuclear image has emerged as a promising research work in medical field.
Images from different modality meet its own challenge. Positron Emission
Tomography (PET) image may help to precisely localize disease to assist in
planning the right treatment for each case and saving valuable time. In this
paper, a novel approac... | computer science |
23,900 | GBM Volumetry using the 3D Slicer Medical Image Computing Platform | cs.CV | Volumetric change in glioblastoma multiforme (GBM) over time is a critical
factor in treatment decisions. Typically, the tumor volume is computed on a
slice-by-slice basis using MRI scans obtained at regular intervals. (3D)Slicer
- a free platform for biomedical research - provides an alternative to this
manual slice-b... | computer science |
23,901 | On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and
the Ugly | cs.CV | In the field of face recognition, Sparse Representation (SR) has received
considerable attention during the past few years. Most of the relevant
literature focuses on holistic descriptors in closed-set identification
applications. The underlying assumption in SR-based methods is that each class
in the gallery has suffi... | computer science |
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