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23,602 | Online Vehicle Detection For Estimating Traffic Status | cs.CV | We propose a traffic congestion estimation system based on unsupervised
on-line learning algorithm. The system does not rely on background extraction
or motion detection. It extracts local features inside detection regions of
variable size which are drawn on lanes in advance. The extracted features are
then clustered i... | computer science |
23,603 | Spatial Features for Multi-Font/Multi-Size Kannada Numerals and Vowels
Recognition | cs.CV | This paper presents multi-font/multi-size Kannada numerals and vowels
recognition based on spatial features. Directional spatial features viz stroke
density, stroke length and the number of stokes in an image are employed as
potential features to characterize the printed Kannada numerals and vowels.
Based on these feat... | computer science |
23,604 | Analysis and Improvement of Low Rank Representation for Subspace
segmentation | cs.CV | We analyze and improve low rank representation (LRR), the state-of-the-art
algorithm for subspace segmentation of data. We prove that for the noiseless
case, the optimization model of LRR has a unique solution, which is the shape
interaction matrix (SIM) of the data matrix. So in essence LRR is equivalent to
factorizat... | computer science |
23,605 | Kunchenko's Polynomials for Template Matching | cs.CV | This paper reviews Kunchenko's polynomials using as template matching method
to recognize template in one-dimensional input signal. Kunchenko's polynomials
method is compared with classical methods - cross-correlation and sum of
squared differences according to numerical statistical example. | computer science |
23,606 | A Variation of the Box-Counting Algorithm Applied to Colour Images | cs.CV | The box counting method for fractal dimension estimation had not been applied
to large or colour images thus far due to the processing time required. In this
letter we present a fast, easy to implement and very easily expandable to any
number of dimensions variation, the box merging method. It is applied here in
RGB im... | computer science |
23,607 | Learning Hypergraph Labeling for Feature Matching | cs.CV | This study poses the feature correspondence problem as a hypergraph node
labeling problem. Candidate feature matches and their subsets (usually of size
larger than two) are considered to be the nodes and hyperedges of a hypergraph.
A hypergraph labeling algorithm, which models the subset-wise interaction by an
undirect... | computer science |
23,608 | A Fuzzy View on k-Means Based Signal Quantization with Application in
Iris Segmentation | cs.CV | This paper shows that the k-means quantization of a signal can be interpreted
both as a crisp indicator function and as a fuzzy membership assignment
describing fuzzy clusters and fuzzy boundaries. Combined crisp and fuzzy
indicator functions are defined here as natural generalizations of the ordinary
crisp and fuzzy i... | computer science |
23,609 | Exploring New Directions in Iris Recognition | cs.CV | A new approach in iris recognition based on Circular Fuzzy Iris Segmentation
(CFIS) and Gabor Analytic Iris Texture Binary Encoder (GAITBE) is proposed and
tested here. CFIS procedure is designed to guarantee that similar iris segments
will be obtained for similar eye images, despite the fact that the degree of
occlusi... | computer science |
23,610 | Topographic Feature Extraction for Bengali and Hindi Character Images | cs.CV | Feature selection and extraction plays an important role in different
classification based problems such as face recognition, signature verification,
optical character recognition (OCR) etc. The performance of OCR highly depends
on the proper selection and extraction of feature set. In this paper, we
present novel feat... | computer science |
23,611 | Face Recognition using Curvelet Transform | cs.CV | Face recognition has been studied extensively for more than 20 years now.
Since the beginning of 90s the subject has became a major issue. This
technology is used in many important real-world applications, such as video
surveillance, smart cards, database security, internet and intranet access.
This report reviews rece... | computer science |
23,612 | Fingerprint recognition using standardized fingerprint model | cs.CV | Fingerprint recognition is one of most popular and accuracy Biometric
technologies. Nowadays, it is used in many real applications. However,
recognizing fingerprints in poor quality images is still a very complex
problem. In recent years, many algorithms, models...are given to improve the
accuracy of recognition system... | computer science |
23,613 | Facial Expression Classification Based on Multi Artificial Neural
Network and Two Dimensional Principal Component Analysis | cs.CV | Facial expression classification is a kind of image classification and it has
received much attention, in recent years. There are many approaches to solve
these problems with aiming to increase efficient classification. One of famous
suggestions is described as first step, project image to different spaces;
second step... | computer science |
23,614 | Arithmetic and Frequency Filtering Methods of Pixel-Based Image Fusion
Techniques | cs.CV | In remote sensing, image fusion technique is a useful tool used to fuse high
spatial resolution panchromatic images (PAN) with lower spatial resolution
multispectral images (MS) to create a high spatial resolution multispectral of
image fusion (F) while preserving the spectral information in the multispectral
image (MS... | computer science |
23,615 | The IHS Transformations Based Image Fusion | cs.CV | The IHS sharpening technique is one of the most commonly used techniques for
sharpening. Different transformations have been developed to transfer a color
image from the RGB space to the IHS space. Through literature, it appears that,
various scientists proposed alternative IHS transformations and many papers
have repo... | computer science |
23,616 | Correlation Estimation from Compressed Images | cs.CV | This paper addresses the problem of correlation estimation in sets of
compressed images. We consider a framework where images are represented under
the form of linear measurements due to low complexity sensing or security
requirements. We assume that the images are correlated through the displacement
of visual objects ... | computer science |
23,617 | Diffeomorphic Metric Mapping of High Angular Resolution Diffusion
Imaging based on Riemannian Structure of Orientation Distribution Functions | cs.CV | In this paper, we propose a novel large deformation diffeomorphic
registration algorithm to align high angular resolution diffusion images
(HARDI) characterized by orientation distribution functions (ODFs). Our
proposed algorithm seeks an optimal diffeomorphism of large deformation between
two ODF fields in a spatial v... | computer science |
23,618 | Efficient and Accurate Gaussian Image Filtering Using Running Sums | cs.CV | This paper presents a simple and efficient method to convolve an image with a
Gaussian kernel. The computation is performed in a constant number of
operations per pixel using running sums along the image rows and columns. We
investigate the error function used for kernel approximation and its relation
to the properties... | computer science |
23,619 | Confidence-Based Dynamic Classifier Combination For Mean-Shift Tracking | cs.CV | We introduce a novel tracking technique which uses dynamic confidence-based
fusion of two different information sources for robust and efficient tracking
of visual objects. Mean-shift tracking is a popular and well known method used
in object tracking problems. Originally, the algorithm uses a similarity
measure which ... | computer science |
23,620 | Compositional Dictionaries for Domain Adaptive Face Recognition | cs.CV | We present a dictionary learning approach to compensate for the
transformation of faces due to changes in view point, illumination, resolution,
etc. The key idea of our approach is to force domain-invariant sparse coding,
i.e., design a consistent sparse representation of the same face in different
domains. In this way... | computer science |
23,621 | Learning Robust Subspace Clustering | cs.CV | We propose a low-rank transformation-learning framework to robustify subspace
clustering. Many high-dimensional data, such as face images and motion
sequences, lie in a union of low-dimensional subspaces. The subspace clustering
problem has been extensively studied in the literature to partition such
high-dimensional d... | computer science |
23,622 | Domain-invariant Face Recognition using Learned Low-rank Transformation | cs.CV | We present a low-rank transformation approach to compensate for face
variations due to changes in visual domains, such as pose and illumination. The
key idea is to learn discriminative linear transformations for face images
using matrix rank as the optimization criteria. The learned linear
transformations restore a sha... | computer science |
23,623 | Sparse Dictionary-based Attributes for Action Recognition and
Summarization | cs.CV | We present an approach for dictionary learning of action attributes via
information maximization. We unify the class distribution and appearance
information into an objective function for learning a sparse dictionary of
action attributes. The objective function maximizes the mutual information
between what has been lea... | computer science |
23,624 | Hybrid Focal Stereo Networks for Pattern Analysis in Homogeneous Scenes | cs.CV | In this paper we address the problem of multiple camera calibration in the
presence of a homogeneous scene, and without the possibility of employing
calibration object based methods. The proposed solution exploits salient
features present in a larger field of view, but instead of employing active
vision we replace the ... | computer science |
23,625 | Head Gesture Recognition using Optical Flow based Classification with
Reinforcement of GMM based Background Subtraction | cs.CV | This paper describes a technique of real time head gesture recognition
system. The method includes Gaussian mixture model (GMM) accompanied by optical
flow algorithm which provided us the required information regarding head
movement. The proposed model can be implemented in various control system. We
are also presentin... | computer science |
23,626 | Image interpolation using Shearlet based iterative refinement | cs.CV | This paper proposes an image interpolation algorithm exploiting sparse
representation for natural images. It involves three main steps: (a) obtaining
an initial estimate of the high resolution image using linear methods like FIR
filtering, (b) promoting sparsity in a selected dictionary through iterative
thresholding, ... | computer science |
23,627 | Bayesian ensemble learning for image denoising | cs.CV | Natural images are often affected by random noise and image denoising has
long been a central topic in Computer Vision. Many algorithms have been
introduced to remove the noise from the natural images, such as Gaussian,
Wiener filtering and wavelet thresholding. However, many of these algorithms
remove the fine edges a... | computer science |
23,628 | A Framework for the Analysis of Computational Imaging Systems with
Practical Applications | cs.CV | Over the last decade, a number of Computational Imaging (CI) systems have
been proposed for tasks such as motion deblurring, defocus deblurring and
multispectral imaging. These techniques increase the amount of light reaching
the sensor via multiplexing and then undo the deleterious effects of
multiplexing by appropria... | computer science |
23,629 | Local image registration a comparison for bilateral registration
mammography | cs.CV | Early tumor detection is key in reducing the number of breast cancer death
and screening mammography is one of the most widely available and reliable
method for early detection. However, it is difficult for the radiologist to
process with the same attention each case, due the large amount of images to be
read. Computer... | computer science |
23,630 | Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual
Image Quality Index | cs.CV | It is an important task to faithfully evaluate the perceptual quality of
output images in many applications such as image compression, image restoration
and multimedia streaming. A good image quality assessment (IQA) model should
not only deliver high quality prediction accuracy but also be computationally
efficient. T... | computer science |
23,631 | Influences Combination of Multi-Sensor Images on Classification Accuracy | cs.CV | This paper focuses on two main issues; first one is the impact of combination
of multi-sensor images on the supervised learning classification accuracy using
segment Fusion (SF). The second issue attempts to undertake the study of
supervised machine learning classification technique of remote sensing images
by using fo... | computer science |
23,632 | A review on handwritten character and numeral recognition for Roman,
Arabic, Chinese and Indian scripts | cs.CV | There are a lot of intensive researches on handwritten character recognition
(HCR) for almost past four decades. The research has been done on some of
popular scripts such as Roman, Arabic, Chinese and Indian. In this paper we
present a review on HCR work on the four popular scripts. We have summarized
most of the publ... | computer science |
23,633 | Suspicious Object Recognition Method in Video Stream Based on Visual
Attention | cs.CV | We propose a state of the art method for intelligent object recognition and
video surveillance based on human visual attention. Bottom up and top down
attention are applied respectively in the process of acquiring interested
object(saliency map) and object recognition. The revision of 4 channel PFT
method is proposed f... | computer science |
23,634 | Edge-detection applied to moving sand dunes on Mars | cs.CV | Here we discuss the application of an edge detection filter, the Sobel filter
of GIMP, to the recently discovered motion of some sand dunes on Mars. The
filter allows a good comparison of an image HiRISE of 2007 and an image of 1999
recorded by the Mars Global Surveyor of the dunes in the Nili Patera caldera,
measuring... | computer science |
23,635 | Hierarchized block wise image approximation by greedy pursuit strategies | cs.CV | An approach for effective implementation of greedy selection methodologies,
to approximate an image partitioned into blocks, is proposed. The method is
specially designed for approximating partitions on a transformed image. It
evolves by selecting, at each iteration step, i) the elements for approximating
each of the b... | computer science |
23,636 | Brain MRI Segmentation with Fast and Globally Convex Multiphase Active
Contours | cs.CV | Multiphase active contour based models are useful in identifying multiple
regions with different characteristics such as the mean values of regions. This
is relevant in brain magnetic resonance images (MRIs), allowing the
differentiation of white matter against gray matter. We consider a well defined
globally convex fo... | computer science |
23,637 | Text recognition in both ancient and cartographic documents | cs.CV | This paper deals with the recognition and matching of text in both
cartographic maps and ancient documents. The purpose of this work is to find
similar text regions based on statistical and global features. A phase of
normalization is done first, in object to well categorize the same quantity of
information. A phase of... | computer science |
23,638 | Categorizing ancient documents | cs.CV | The analysis of historical documents is still a topical issue given the
importance of information that can be extracted and also the importance given
by the institutions to preserve their heritage. The main idea in order to
characterize the content of the images of ancient documents after attempting to
clean the image ... | computer science |
23,639 | A proposition of a robust system for historical document images
indexation | cs.CV | Characterizing noisy or ancient documents is a challenging problem up to now.
Many techniques have been done in order to effectuate feature extraction and
image indexation for such documents. Global approaches are in general less
robust and exact than local approaches. That's why, we propose in this paper, a
hybrid sys... | computer science |
23,640 | GNCGCP - Graduated NonConvexity and Graduated Concavity Procedure | cs.CV | In this paper we propose the Graduated NonConvexity and Graduated Concavity
Procedure (GNCGCP) as a general optimization framework to approximately solve
the combinatorial optimization problems on the set of partial permutation
matrices. GNCGCP comprises two sub-procedures, graduated nonconvexity (GNC)
which realizes a... | computer science |
23,641 | A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of
Urban Facades from Heterogeneous Cartographic Data | cs.CV | In this paper we present a practical approach for generating an
occlusion-free textured 3D map of urban facades by the synergistic use of
terrestrial images, 3D point clouds and area-based information. Particularly in
dense urban environments, the high presence of urban objects in front of the
facades causes significan... | computer science |
23,642 | Image Set based Collaborative Representation for Face Recognition | cs.CV | With the rapid development of digital imaging and communication technologies,
image set based face recognition (ISFR) is becoming increasingly important. One
key issue of ISFR is how to effectively and efficiently represent the query
face image set by using the gallery face image sets. The set-to-set distance
based met... | computer science |
23,643 | Conditional Expressions for Blind Deconvolution: Derivative form | cs.CV | We developed novel conditional expressions (CEs) for Lane and Bates' blind
deconvolution. The CEs are given in term of the derivatives of the zero-values
of the z-transform of given images. The CEs make it possible to automatically
detect multiple blur convolved in the given images all at once without
performing any an... | computer science |
23,644 | Camera motion estimation through planar deformation determination | cs.CV | In this paper, we propose a global method for estimating the motion of a
camera which films a static scene. Our approach is direct, fast and robust, and
deals with adjacent frames of a sequence. It is based on a quadratic
approximation of the deformation between two images, in the case of a scene
with constant depth in... | computer science |
23,645 | Spatio-activity based object detection | cs.CV | We present the SAMMI lightweight object detection method which has a high
level of accuracy and robustness, and which is able to operate in an
environment with a large number of cameras. Background modeling is based on DCT
coefficients provided by cameras. Foreground detection uses similarity in
temporal characteristic... | computer science |
23,646 | Using Spatially Varying Pixels Exposures and Bayer-covered Photosensors
for High Dynamic Range Imaging | cs.CV | The method of a linear high dynamic range imaging using solid-state
photosensors with Bayer colour filters array is provided in this paper. Using
information from neighbour pixels, it is possible to reconstruct linear images
with wide dynamic range from the oversaturated images. Bayer colour filters
array is considered... | computer science |
23,647 | Obtaining Depth Maps From Color Images By Region Based Stereo Matching
Algorithms | cs.CV | In the paper, region based stereo matching algorithms are developed for
extraction depth information from two color stereo image pair. A filter
eliminating unreliable disparity estimation was used for increasing reliability
of the disparity map. Obtained results by algorithms were represented and
compared. | computer science |
23,648 | Sparse Component Analysis (SCA) in Random-valued and Salt and Pepper
Noise Removal | cs.CV | In this paper, we propose a new method for impulse noise removal from images.
It uses the sparsity of images in the Discrete Cosine Transform (DCT) domain.
The zeros in this domain give us the exact mathematical equation to reconstruct
the pixels that are corrupted by random-value impulse noises. The proposed
method ca... | computer science |
23,649 | Recognition of Regular Shapes in Satelite Images | cs.CV | This paper has been withdrawn by the author ali pourmohammad. | computer science |
23,650 | Real-time Texture Error Detection | cs.CV | This paper advocates an improved solution for real-time error detection of
texture errors that occurs in the production process in textile industry. The
research is focused on the mono-color products with 3D texture model (Jaquard
fabrics). This is a more difficult task than, for example, 2D multicolor
textures. | computer science |
23,651 | Digital Restoration of Ancient Papyri | cs.CV | Image processing can be used for digital restoration of ancient papyri, that
is, for a restoration performed on their digital images. The digital
manipulation allows reducing the background signals and enhancing the
readability of texts. In the case of very old and damaged documents, this is
fundamental for identificat... | computer science |
23,652 | Segmentation of Facial Expressions Using Semi-Definite Programming and
Generalized Principal Component Analysis | cs.CV | In this paper, we use semi-definite programming and generalized principal
component analysis (GPCA) to distinguish between two or more different facial
expressions. In the first step, semi-definite programming is used to reduce the
dimension of the image data and "unfold" the manifold which the data points
(correspondi... | computer science |
23,653 | Combinatorial pyramids and discrete geometry for energy-minimizing
segmentation | cs.CV | This paper defines the basis of a new hierarchical framework for segmentation
algorithms based on energy minimization schemes. This new framework is based on
two formal tools. First, a combinatorial pyramid encode efficiently a hierarchy
of partitions. Secondly, discrete geometric estimators measure precisely some
impo... | computer science |
23,654 | Deformable Model with a Complexity Independent from Image Resolution | cs.CV | We present a parametric deformable model which recovers image components with
a complexity independent from the resolution of input images. The proposed
model also automatically changes its topology and remains fully compatible with
the general framework of deformable models. More precisely, the image space is
equipped... | computer science |
23,655 | Adaptive Regularization of Ill-Posed Problems: Application to Non-rigid
Image Registration | cs.CV | We introduce an adaptive regularization approach. In contrast to conventional
Tikhonov regularization, which specifies a fixed regularization operator, we
estimate it simultaneously with parameters. From a Bayesian perspective we
estimate the prior distribution on parameters assuming that it is close to some
given mode... | computer science |
23,656 | Automatic Defect Detection and Classification Technique from Image: A
Special Case Using Ceramic Tiles | cs.CV | Quality control is an important issue in the ceramic tile industry. On the
other hand maintaining the rate of production with respect to time is also a
major issue in ceramic tile manufacturing. Again, price of ceramic tiles also
depends on purity of texture, accuracy of color, shape etc. Considering this
criteria, an ... | computer science |
23,657 | Automatic Spatially-Adaptive Balancing of Energy Terms for Image
Segmentation | cs.CV | Image segmentation techniques are predominately based on parameter-laden
optimization. The objective function typically involves weights for balancing
competing image fidelity and segmentation regularization cost terms. Setting
these weights suitably has been a painstaking, empirical process. Even if such
ideal weights... | computer science |
23,658 | Efficient IRIS Recognition through Improvement of Feature Extraction and
subset Selection | cs.CV | The selection of the optimal feature subset and the classification has become
an important issue in the field of iris recognition. In this paper we propose
several methods for iris feature subset selection and vector creation. The
deterministic feature sequence is extracted from the iris image by using the
contourlet t... | computer science |
23,659 | A new approach for digit recognition based on hand gesture analysis | cs.CV | We present in this paper a new approach for hand gesture analysis that allows
digit recognition. The analysis is based on extracting a set of features from a
hand image and then combining them by using an induction graph. The most
important features we extract from each image are the fingers locations, their
heights an... | computer science |
23,660 | Multi-Label MRF Optimization via Least Squares s-t Cuts | cs.CV | There are many applications of graph cuts in computer vision, e.g.
segmentation. We present a novel method to reformulate the NP-hard, k-way graph
partitioning problem as an approximate minimal s-t graph cut problem, for which
a globally optimal solution is found in polynomial time. Each non-terminal
vertex in the orig... | computer science |
23,661 | An Iterative Fingerprint Enhancement Algorithm Based on Accurate
Determination of Orientation Flow | cs.CV | We describe an algorithm to enhance and binarize a fingerprint image. The
algorithm is based on accurate determination of orientation flow of the ridges
of the fingerprint image by computing variance of the neighborhood pixels
around a pixel in different directions. We show that an iterative algorithm
which captures th... | computer science |
23,662 | Bounding the Probability of Error for High Precision Recognition | cs.CV | We consider models for which it is important, early in processing, to
estimate some variables with high precision, but perhaps at relatively low
rates of recall. If some variables can be identified with near certainty, then
they can be conditioned upon, allowing further inference to be done
efficiently. Specifically, w... | computer science |
23,663 | Augmenting Light Field to model Wave Optics effects | cs.CV | The ray-based 4D light field representation cannot be directly used to
analyze diffractive or phase--sensitive optical elements. In this paper, we
exploit tools from wave optics and extend the light field representation via a
novel "light field transform". We introduce a key modification to the
ray--based model to supp... | computer science |
23,664 | Multiresolution Elastic Medical Image Registration in Standard Intensity
Scale | cs.CV | Medical image registration is a difficult problem. Not only a registration
algorithm needs to capture both large and small scale image deformations, it
also has to deal with global and local image intensity variations. In this
paper we describe a new multiresolution elastic image registration method that
challenges the... | computer science |
23,665 | Registration of Standardized Histological Images in Feature Space | cs.CV | In this paper, we propose three novel and important methods for the
registration of histological images for 3D reconstruction. First, possible
intensity variations and nonstandardness in images are corrected by an
intensity standardization process which maps the image scale into a standard
scale where the similar inten... | computer science |
23,666 | Fully Automatic 3D Reconstruction of Histological Images | cs.CV | In this paper, we propose a computational framework for 3D volume
reconstruction from 2D histological slices using registration algorithms in
feature space. To improve the quality of reconstructed 3D volume, first,
intensity variations in images are corrected by an intensity standardization
process which maps image int... | computer science |
23,667 | Parallel AdaBoost Algorithm for Gabor Wavelet Selection in Face
Recognition | cs.CV | In this paper, the problem of automatic Gabor wavelet selection for face
recognition is tackled by introducing an automatic algorithm based on Parallel
AdaBoosting method. Incorporating mutual information into the algorithm leads
to the selection procedure not only based on classification accuracy but also
on efficienc... | computer science |
23,668 | Learning Object Location Predictors with Boosting and Grammar-Guided
Feature Extraction | cs.CV | We present BEAMER: a new spatially exploitative approach to learning object
detectors which shows excellent results when applied to the task of detecting
objects in greyscale aerial imagery in the presence of ambiguous and noisy
data. There are four main contributions used to produce these results. First,
we introduce ... | computer science |
23,669 | Automatic local Gabor Features extraction for face recognition | cs.CV | We present in this paper a biometric system of face detection and recognition
in color images. The face detection technique is based on skin color
information and fuzzy classification. A new algorithm is proposed in order to
detect automatically face features (eyes, mouth and nose) and extract their
correspondent geome... | computer science |
23,670 | Multiple pattern classification by sparse subspace decomposition | cs.CV | A robust classification method is developed on the basis of sparse subspace
decomposition. This method tries to decompose a mixture of subspaces of
unlabeled data (queries) into class subspaces as few as possible. Each query is
classified into the class whose subspace significantly contributes to the
decomposed subspac... | computer science |
23,671 | Modular Traffic Sign Recognition applied to on-vehicle real-time visual
detection of American and European speed limit signs | cs.CV | We present a new modular traffic signs recognition system, successfully
applied to both American and European speed limit signs. Our sign detection
step is based only on shape-detection (rectangles or circles). This enables it
to work on grayscale images, contrary to most European competitors, which eases
robustness to... | computer science |
23,672 | 3D/2D Registration of Mapping Catheter Images for Arrhythmia
Interventional Assistance | cs.CV | Radiofrequency (RF) catheter ablation has transformed treatment for
tachyarrhythmias and has become first-line therapy for some tachycardias. The
precise localization of the arrhythmogenic site and the positioning of the RF
catheter over that site are problematic: they can impair the efficiency of the
procedure and are... | computer science |
23,673 | Color Image Clustering using Block Truncation Algorithm | cs.CV | With the advancement in image capturing device, the image data been generated
at high volume. If images are analyzed properly, they can reveal useful
information to the human users. Content based image retrieval address the
problem of retrieving images relevant to the user needs from image databases on
the basis of low... | computer science |
23,674 | Fractional differentiation based image processing | cs.CV | There are many resources useful for processing images, most of them freely
available and quite friendly to use. In spite of this abundance of tools, a
study of the processing methods is still worthy of efforts. Here, we want to
discuss the possibilities arising from the use of fractional differential
calculus. This cal... | computer science |
23,675 | Behavior Subtraction | cs.CV | Background subtraction has been a driving engine for many computer vision and
video analytics tasks. Although its many variants exist, they all share the
underlying assumption that photometric scene properties are either static or
exhibit temporal stationarity. While this works in some applications, the model
fails whe... | computer science |
23,676 | A $p$-adic RanSaC algorithm for stereo vision using Hensel lifting | cs.CV | A $p$-adic variation of the Ran(dom) Sa(mple) C(onsensus) method for solving
the relative pose problem in stereo vision is developped. From two 2-adically
encoded images a random sample of five pairs of corresponding points is taken,
and the equations for the essential matrix are solved by lifting solutions
modulo 2 to... | computer science |
23,677 | An Iterative Shrinkage Approach to Total-Variation Image Restoration | cs.CV | The problem of restoration of digital images from their degraded measurements
plays a central role in a multitude of practically important applications. A
particularly challenging instance of this problem occurs in the case when the
degradation phenomenon is modeled by an ill-conditioned operator. In such a
case, the p... | computer science |
23,678 | Accelerating Competitive Learning Graph Quantization | cs.CV | Vector quantization(VQ) is a lossy data compression technique from signal
processing for which simple competitive learning is one standard method to
quantize patterns from the input space. Extending competitive learning VQ to
the domain of graphs results in competitive learning for quantizing input
graphs. In this cont... | computer science |
23,679 | Boosting k-NN for categorization of natural scenes | cs.CV | The k-nearest neighbors (k-NN) classification rule has proven extremely
successful in countless many computer vision applications. For example, image
categorization often relies on uniform voting among the nearest prototypes in
the space of descriptors. In spite of its good properties, the classic k-NN
rule suffers fro... | computer science |
23,680 | A Topological derivative based image segmentation for sign language
recognition system using isotropic filter | cs.CV | The need of sign language is increasing radically especially to hearing
impaired community. Only few research groups try to automatically recognize
sign language from video, colored gloves and etc. Their approach requires a
valid segmentation of the data that is used for training and of the data that
is used to be reco... | computer science |
23,681 | Features Based Text Similarity Detection | cs.CV | As the Internet help us cross cultural border by providing different
information, plagiarism issue is bound to arise. As a result, plagiarism
detection becomes more demanding in overcoming this issue. Different plagiarism
detection tools have been developed based on various detection techniques.
Nowadays, fingerprint m... | computer science |
23,682 | 3D Skull Recognition Using 3D Matching Technique | cs.CV | Biometrics has become a "hot" area. Governments are funding research programs
focused on biometrics. In this paper the problem of person recognition and
verification based on a different biometric application has been addressed. The
system is based on the 3DSkull recognition using 3D matching technique, in fact
this pa... | computer science |
23,683 | Hybrid Medical Image Classification Using Association Rule Mining with
Decision Tree Algorithm | cs.CV | The main focus of image mining in the proposed method is concerned with the
classification of brain tumor in the CT scan brain images. The major steps
involved in the system are: pre-processing, feature extraction, association
rule mining and hybrid classifier. The pre-processing step has been done using
the median fil... | computer science |
23,684 | Gradient Based Seeded Region Grow method for CT Angiographic Image
Segmentation | cs.CV | Segmentation of medical images using seeded region growing technique is
increasingly becoming a popular method because of its ability to involve
high-level knowledge of anatomical structures in seed selection process. Region
based segmentation of medical images are widely used in varied clinical
applications like visua... | computer science |
23,685 | Detection and Demarcation of Tumor using Vector Quantization in MRI
images | cs.CV | Segmenting a MRI images into homogeneous texture regions representing
disparate tissue types is often a useful preprocessing step in the
computer-assisted detection of breast cancer. That is why we proposed new
algorithm to detect cancer in mammogram breast cancer images. In this paper we
proposed segmentation using ve... | computer science |
23,686 | Multi-camera Realtime 3D Tracking of Multiple Flying Animals | cs.CV | Automated tracking of animal movement allows analyses that would not
otherwise be possible by providing great quantities of data. The additional
capability of tracking in realtime - with minimal latency - opens up the
experimental possibility of manipulating sensory feedback, thus allowing
detailed explorations of the ... | computer science |
23,687 | Kannada Character Recognition System A Review | cs.CV | Intensive research has been done on optical character recognition ocr and a
large number of articles have been published on this topic during the last few
decades. Many commercial OCR systems are now available in the market, but most
of these systems work for Roman, Chinese, Japanese and Arabic characters. There
are no... | computer science |
23,688 | Threshold Based Indexing of Commercial Shoe Print to Create Reference
and Recovery Images | cs.CV | One of the important evidence in a crime scene that is normally overlooked
but very important evidence is shoe print as the criminal is normally unaware
of the mask for this. In this paper we use image processing technique to
process reference shoe images to make it index-able for a search from the
database the shoe pr... | computer science |
23,689 | Visual-hint Boundary to Segment Algorithm for Image Segmentation | cs.CV | Image segmentation has been a very active research topic in image analysis
area. Currently, most of the image segmentation algorithms are designed based
on the idea that images are partitioned into a set of regions preserving
homogeneous intra-regions and inhomogeneous inter-regions. However, human
visual intuition doe... | computer science |
23,690 | Convolutional Matching Pursuit and Dictionary Training | cs.CV | Matching pursuit and K-SVD is demonstrated in the translation invariant
setting | computer science |
23,691 | Joint interpretation of on-board vision and static GPS cartography for
determination of correct speed limit | cs.CV | We present here a first prototype of a "Speed Limit Support" Advance Driving
Assistance System (ADAS) producing permanent reliable information on the
current speed limit applicable to the vehicle. Such a module can be used either
for information of the driver, or could even serve for automatic setting of the
maximum sp... | computer science |
23,692 | 3-D Rigid Models from Partial Views - Global Factorization | cs.CV | The so-called factorization methods recover 3-D rigid structure from motion
by factorizing an observation matrix that collects 2-D projections of features.
These methods became popular due to their robustness - they use a large number
of views, which constrains adequately the solution - and computational
simplicity - t... | computer science |
23,693 | Maximum Likelihood Mosaics | cs.CV | The majority of the approaches to the automatic recovery of a panoramic image
from a set of partial views are suboptimal in the sense that the input images
are aligned, or registered, pair by pair, e.g., consecutive frames of a video
clip. These approaches lead to propagation errors that may be very severe,
particularl... | computer science |
23,694 | ANSIG - An Analytic Signature for Arbitrary 2D Shapes (or Bags of
Unlabeled Points) | cs.CV | In image analysis, many tasks require representing two-dimensional (2D)
shape, often specified by a set of 2D points, for comparison purposes. The
challenge of the representation is that it must not only capture the
characteristics of the shape but also be invariant to relevant transformations.
Invariance to geometric ... | computer science |
23,695 | Revisiting Complex Moments For 2D Shape Representation and Image
Normalization | cs.CV | When comparing 2D shapes, a key issue is their normalization. Translation and
scale are easily taken care of by removing the mean and normalizing the energy.
However, defining and computing the orientation of a 2D shape is not so simple.
In fact, although for elongated shapes the principal axis can be used to define
on... | computer science |
23,696 | Statistical Compressive Sensing of Gaussian Mixture Models | cs.CV | A new framework of compressive sensing (CS), namely statistical compressive
sensing (SCS), that aims at efficiently sampling a collection of signals that
follow a statistical distribution and achieving accurate reconstruction on
average, is introduced. For signals following a Gaussian distribution, with
Gaussian or Ber... | computer science |
23,697 | Collaborative Sources Identification in Mixed Signals via Hierarchical
Sparse Modeling | cs.CV | A collaborative framework for detecting the different sources in mixed
signals is presented in this paper. The approach is based on C-HiLasso, a
convex collaborative hierarchical sparse model, and proceeds as follows. First,
we build a structured dictionary for mixed signals by concatenating a set of
sub-dictionaries, ... | computer science |
23,698 | Selective Image Super-Resolution | cs.CV | In this paper we propose a vision system that performs image Super Resolution
(SR) with selectivity. Conventional SR techniques, either by multi-image fusion
or example-based construction, have failed to capitalize on the intrinsic
structural and semantic context in the image, and performed "blind" resolution
recovery ... | computer science |
23,699 | A Framework for Real-Time Face and Facial Feature Tracking using Optical
Flow Pre-estimation and Template Tracking | cs.CV | This work presents a framework for tracking head movements and capturing the
movements of the mouth and both the eyebrows in real-time. We present a head
tracker which is a combination of a optical flow and a template based tracker.
The estimation of the optical flow head tracker is used as starting point for
the templ... | computer science |
23,700 | Binary and nonbinary description of hypointensity in human brain MR
images | cs.CV | Accumulating evidence has shown that iron is involved in the mechanism
underlying many neurodegenerative diseases, such as Alzheimer's disease,
Parkinson's disease and Huntington's disease. Abnormal (higher) iron
accumulation has been detected in the brains of most neurodegenerative
patients, especially in the basal ga... | computer science |
23,701 | Combining Neural Networks for Skin Detection | cs.CV | Two types of combining strategies were evaluated namely combining skin
features and combining skin classifiers. Several combining rules were applied
where the outputs of the skin classifiers are combined using binary operators
such as the AND and the OR operators, "Voting", "Sum of Weights" and a new
neural network. Th... | computer science |
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