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23,202 | Supervised Learning of Digital image restoration based on Quantization
Nearest Neighbor algorithm | cs.CV | In this paper, an algorithm is proposed for Image Restoration. Such algorithm
is different from the traditional approaches in this area, by utilizing priors
that are learned from similar images. Original images and their degraded
versions by the known degradation operators are utilized for designing the
Quantization. T... | computer science |
23,203 | Analysis, Interpretation, and Recognition of Facial Action Units and
Expressions Using Neuro-Fuzzy Modeling | cs.CV | In this paper an accurate real-time sequence-based system for representation,
recognition, interpretation, and analysis of the facial action units (AUs) and
expressions is presented. Our system has the following characteristics: 1)
employing adaptive-network-based fuzzy inference systems (ANFIS) and temporal
informatio... | computer science |
23,204 | Regularized Richardson-Lucy Algorithm for Sparse Reconstruction of
Poissonian Images | cs.CV | Restoration of digital images from their degraded measurements has always
been a problem of great theoretical and practical importance in numerous
applications of imaging sciences. A specific solution to the problem of image
restoration is generally determined by the nature of degradation phenomenon as
well as by the s... | computer science |
23,205 | Signature Recognition using Multi Scale Fourier Descriptor And Wavelet
Transform | cs.CV | This paper present a novel off-line signature recognition method based on
multi scale Fourier Descriptor and wavelet transform . The main steps of
constructing a signature recognition system are discussed and experiments on
real data sets show that the average error rate can reach 1%. Finally we
compare 8 distance meas... | computer science |
23,206 | A Robust Fuzzy Clustering Technique with Spatial Neighborhood
Information for Effective Medical Image Segmentation | cs.CV | Medical image segmentation demands an efficient and robust segmentation
algorithm against noise. The conventional fuzzy c-means algorithm is an
efficient clustering algorithm that is used in medical image segmentation. But
FCM is highly vulnerable to noise since it uses only intensity values for
clustering the images. ... | computer science |
23,207 | A New Approach to Lung Image Segmentation using Fuzzy Possibilistic
C-Means Algorithm | cs.CV | Image segmentation is a vital part of image processing. Segmentation has its
application widespread in the field of medical images in order to diagnose
curious diseases. The same medical images can be segmented manually. But the
accuracy of image segmentation using the segmentation algorithms is more when
compared with... | computer science |
23,208 | Feature Level Fusion of Face and Palmprint Biometrics by Isomorphic
Graph-based Improved K-Medoids Partitioning | cs.CV | This paper presents a feature level fusion approach which uses the improved
K-medoids clustering algorithm and isomorphic graph for face and palmprint
biometrics. Partitioning around medoids (PAM) algorithm is used to partition
the set of n invariant feature points of the face and palmprint images into k
clusters. By p... | computer science |
23,209 | Maximized Posteriori Attributes Selection from Facial Salient Landmarks
for Face Recognition | cs.CV | This paper presents a robust and dynamic face recognition technique based on
the extraction and matching of devised probabilistic graphs drawn on SIFT
features related to independent face areas. The face matching strategy is based
on matching individual salient facial graph characterized by SIFT features as
connected t... | computer science |
23,210 | Offline Handwriting Recognition using Genetic Algorithm | cs.CV | Handwriting Recognition enables a person to scribble something on a piece of
paper and then convert it into text. If we look into the practical reality
there are enumerable styles in which a character may be written. These styles
can be self combined to generate more styles. Even if a small child knows the
basic styles... | computer science |
23,211 | Color Image Compression Based On Wavelet Packet Best Tree | cs.CV | In Image Compression, the researchers' aim is to reduce the number of bits
required to represent an image by removing the spatial and spectral
redundancies. Recently discrete wavelet transform and wavelet packet has
emerged as popular techniques for image compression. The wavelet transform is
one of the major processin... | computer science |
23,212 | Signature Region of Interest using Auto cropping | cs.CV | A new approach for signature region of interest pre-processing was presented.
It used new auto cropping preparation on the basis of the image content, where
the intensity value of pixel is the source of cropping. This approach provides
both the possibility of improving the performance of security systems based on
signa... | computer science |
23,213 | Simultaneous Bayesian inference of motion velocity fields and
probabilistic models in successive video-frames described by spatio-temporal
MRFs | cs.CV | We numerically investigate a mean-field Bayesian approach with the assistance
of the Markov chain Monte Carlo method to estimate motion velocity fields and
probabilistic models simultaneously in consecutive digital images described by
spatio-temporal Markov random fields. Preliminary to construction of our
procedure, w... | computer science |
23,214 | Hashing Image Patches for Zooming | cs.CV | In this paper we present a Bayesian image zooming/super-resolution algorithm
based on a patch based representation. We work on a patch based model with
overlap and employ a Locally Linear Embedding (LLE) based approach as our data
fidelity term in the Bayesian inference. The image prior imposes continuity
constraints a... | computer science |
23,215 | Spatially-Adaptive Reconstruction in Computed Tomography Based on
Statistical Learning | cs.CV | We propose a direct reconstruction algorithm for Computed Tomography, based
on a local fusion of a few preliminary image estimates by means of a non-linear
fusion rule. One such rule is based on a signal denoising technique which is
spatially adaptive to the unknown local smoothness. Another, more powerful
fusion rule,... | computer science |
23,216 | Deblured Gaussian Blurred Images | cs.CV | This paper attempts to undertake the study of Restored Gaussian Blurred
Images. by using four types of techniques of deblurring image as Wiener filter,
Regularized filter, Lucy Richardson deconvlutin algorithm and Blind
deconvlution algorithm with an information of the Point Spread Function (PSF)
corrupted blurred imag... | computer science |
23,217 | An Efficient Watermarking Algorithm to Improve Payload and Robustness
without Affecting Image Perceptual Quality | cs.CV | Capacity, Robustness, & Perceptual quality of watermark data are very
important issues to be considered. A lot of research is going on to increase
these parameters for watermarking of the digital images, as there is always a
tradeoff among them. . In this paper an efficient watermarking algorithm to
improve payload and... | computer science |
23,218 | Logical methods of object recognition on satellite images using spatial
constraints | cs.CV | A logical approach to object recognition on image is proposed. The main idea
of the approach is to perform the object recognition as a logical inference on
a set of rules describing an object shape. | computer science |
23,219 | Randomized hybrid linear modeling by local best-fit flats | cs.CV | The hybrid linear modeling problem is to identify a set of d-dimensional
affine sets in a D-dimensional Euclidean space. It arises, for example, in
object tracking and structure from motion. The hybrid linear model can be
considered as the second simplest (behind linear) manifold model of data. In
this paper we will pr... | computer science |
23,220 | Multistage Hybrid Arabic/Indian Numeral OCR System | cs.CV | The use of OCR in postal services is not yet universal and there are still
many countries that process mail sorting manually. Automated Arabic/Indian
numeral Optical Character Recognition (OCR) systems for Postal services are
being used in some countries, but still there are errors during the mail
sorting process, thus... | computer science |
23,221 | An Efficient Vein Pattern-based Recognition System | cs.CV | This paper presents an efficient human recognition system based on vein
pattern from the palma dorsa. A new absorption based technique has been
proposed to collect good quality images with the help of a low cost camera and
light source. The system automatically detects the region of interest from the
image and does the... | computer science |
23,222 | Classification via Incoherent Subspaces | cs.CV | This article presents a new classification framework that can extract
individual features per class. The scheme is based on a model of incoherent
subspaces, each one associated to one class, and a model on how the elements in
a class are represented in this subspace. After the theoretical analysis an
alternate projecti... | computer science |
23,223 | On the Subspace of Image Gradient Orientations | cs.CV | We introduce the notion of Principal Component Analysis (PCA) of image
gradient orientations. As image data is typically noisy, but noise is
substantially different from Gaussian, traditional PCA of pixel intensities
very often fails to estimate reliably the low-dimensional subspace of a given
data population. We show ... | computer science |
23,224 | Image Segmentation by Using Threshold Techniques | cs.CV | This paper attempts to undertake the study of segmentation image techniques
by using five threshold methods as Mean method, P-tile method, Histogram
Dependent Technique (HDT), Edge Maximization Technique (EMT) and visual
Technique and they are compared with one another so as to choose the best
technique for threshold s... | computer science |
23,225 | Face Synthesis (FASY) System for Generation of a Face Image from Human
Description | cs.CV | This paper aims at generating a new face based on the human like description
using a new concept. The FASY (FAce SYnthesis) System is a Face Database
Retrieval and new Face generation System that is under development. One of its
main features is the generation of the requested face when it is not found in
the existing ... | computer science |
23,226 | Classification of Polar-Thermal Eigenfaces using Multilayer Perceptron
for Human Face Recognition | cs.CV | This paper presents a novel approach to handle the challenges of face
recognition. In this work thermal face images are considered, which minimizes
the affect of illumination changes and occlusion due to moustache, beards,
adornments etc. The proposed approach registers the training and testing
thermal face images in p... | computer science |
23,227 | Reduction of Feature Vectors Using Rough Set Theory for Human Face
Recognition | cs.CV | In this paper we describe a procedure to reduce the size of the input feature
vector. A complex pattern recognition problem like face recognition involves
huge dimension of input feature vector. To reduce that dimension here we have
used eigenspace projection (also called as Principal Component Analysis), which
is basi... | computer science |
23,228 | LACBoost and FisherBoost: Optimally Building Cascade Classifiers | cs.CV | Object detection is one of the key tasks in computer vision. The cascade
framework of Viola and Jones has become the de facto standard. A classifier in
each node of the cascade is required to achieve extremely high detection rates,
instead of low overall classification error. Although there are a few reported
methods a... | computer science |
23,229 | Incremental Training of a Detector Using Online Sparse
Eigen-decomposition | cs.CV | The ability to efficiently and accurately detect objects plays a very crucial
role for many computer vision tasks. Recently, offline object detectors have
shown a tremendous success. However, one major drawback of offline techniques
is that a complete set of training data has to be collected beforehand. In
addition, on... | computer science |
23,230 | Classification of LULC Change Detection using Remotely Sensed Data for
Coimbatore City, Tamilnadu, India | cs.CV | Maps are used to describe far-off places . It is an aid for navigation and
military strategies. Mapping of the lands are important and the mapping work is
based on (i). Natural resource management & development (ii). Information
technology ,(iii). Environmental development ,(iv). Facility management and
(v). e-governan... | computer science |
23,231 | Application Of Fuzzy System In Segmentation Of MRI Brain Tumor | cs.CV | Segmentation of images holds an important position in the area of image
processing. It becomes more important whi le typically dealing with medical
images where presurgery and post surgery decisions are required for the purpose
of initiating and speeding up the recovery process. Segmentation of 3-D tumor
structures fro... | computer science |
23,232 | Compression Rate Method for Empirical Science and Application to
Computer Vision | cs.CV | This philosophical paper proposes a modified version of the scientific
method, in which large databases are used instead of experimental observations
as the necessary empirical ingredient. This change in the source of the
empirical data allows the scientific method to be applied to several aspects of
physical reality t... | computer science |
23,233 | Content Based Image Retrieval Using Exact Legendre Moments and Support
Vector Machine | cs.CV | Content Based Image Retrieval (CBIR) systems based on shape using invariant
image moments, viz., Moment Invariants (MI) and Zernike Moments (ZM) are
available in the literature. MI and ZM are good at representing the shape
features of an image. However, non-orthogonality of MI and poor reconstruction
of ZM restrict the... | computer science |
23,234 | Detection of Bleeding in Wireless Capsule Endoscopy Images Using Range
Ratio Color | cs.CV | Wireless Capsule Endoscopy (WCE) is device to detect abnormalities in
colon,esophagus,small intestinal and stomach, to distinguish bleeding in WCE
images from non bleeding is a hard job by human reviewing and very time
consuming. Consequently, automation for classifying bleeding frames not only
will expedite the proces... | computer science |
23,235 | Biometric Authentication using Nonparametric Methods | cs.CV | The physiological and behavioral trait is employed to develop biometric
authentication systems. The proposed work deals with the authentication of iris
and signature based on minimum variance criteria. The iris patterns are
preprocessed based on area of the connected components. The segmented image
used for authenticat... | computer science |
23,236 | Image Segmentation Using Weak Shape Priors | cs.CV | The problem of image segmentation is known to become particularly challenging
in the case of partial occlusion of the object(s) of interest, background
clutter, and the presence of strong noise. To overcome this problem, the
present paper introduces a novel approach segmentation through the use of
"weak" shape priors. ... | computer science |
23,237 | Penalized K-Nearest-Neighbor-Graph Based Metrics for Clustering | cs.CV | A difficult problem in clustering is how to handle data with a manifold
structure, i.e. data that is not shaped in the form of compact clouds of
points, forming arbitrary shapes or paths embedded in a high-dimensional space.
In this work we introduce the Penalized k-Nearest-Neighbor-Graph (PKNNG) based
metric, a new to... | computer science |
23,238 | An Effective Fingerprint Verification Technique | cs.CV | This paper presents an effective method for fingerprint verification based on
a data mining technique called minutiae clustering and a graph-theoretic
approach to analyze the process of fingerprint comparison to give a feature
space representation of minutiae and to produce a lower bound on the number of
detectably dis... | computer science |
23,239 | Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian
Mixture Models to Structured Sparsity | cs.CV | A general framework for solving image inverse problems is introduced in this
paper. The approach is based on Gaussian mixture models, estimated via a
computationally efficient MAP-EM algorithm. A dual mathematical interpretation
of the proposed framework with structured sparse estimation is described, which
shows that ... | computer science |
23,240 | Action Recognition in Videos: from Motion Capture Labs to the Web | cs.CV | This paper presents a survey of human action recognition approaches based on
visual data recorded from a single video camera. We propose an organizing
framework which puts in evidence the evolution of the area, with techniques
moving from heavily constrained motion capture scenarios towards more
challenging, realistic,... | computer science |
23,241 | Optimization of Weighted Curvature for Image Segmentation | cs.CV | Minimization of boundary curvature is a classic regularization technique for
image segmentation in the presence of noisy image data. Techniques for
minimizing curvature have historically been derived from descent methods which
could be trapped in a local minimum and therefore required a good
initialization. Recently, c... | computer science |
23,242 | Efficient Region-Based Image Querying | cs.CV | Retrieving images from large and varied repositories using visual contents
has been one of major research items, but a challenging task in the image
management community. In this paper we present an efficient approach for
region-based image classification and retrieval using a fast multi-level neural
network model. The... | computer science |
23,243 | 3D Visual Tracking with Particle and Kalman Filters | cs.CV | One of the most visually demonstrable and straightforward uses of filtering
is in the field of Computer Vision. In this document we will try to outline the
issues encountered while designing and implementing a particle and kalman
filter based tracking system. | computer science |
23,244 | Performance Comparison of SVM and ANN for Handwritten Devnagari
Character Recognition | cs.CV | Classification methods based on learning from examples have been widely
applied to character recognition from the 1990s and have brought forth
significant improvements of recognition accuracies. This class of methods
includes statistical methods, artificial neural networks, support vector
machines (SVM), multiple class... | computer science |
23,245 | Recognition of Non-Compound Handwritten Devnagari Characters using a
Combination of MLP and Minimum Edit Distance | cs.CV | This paper deals with a new method for recognition of offline Handwritten
non-compound Devnagari Characters in two stages. It uses two well known and
established pattern recognition techniques: one using neural networks and the
other one using minimum edit distance. Each of these techniques is applied on
different sets... | computer science |
23,246 | Application of Statistical Features in Handwritten Devnagari Character
Recognition | cs.CV | In this paper a scheme for offline Handwritten Devnagari Character
Recognition is proposed, which uses different feature extraction methodologies
and recognition algorithms. The proposed system assumes no constraints in
writing style or size. First the character is preprocessed and features namely
: Chain code histogra... | computer science |
23,247 | Multiple Classifier Combination for Off-line Handwritten Devnagari
Character Recognition | cs.CV | This work presents the application of weighted majority voting technique for
combination of classification decision obtained from three Multi_Layer
Perceptron(MLP) based classifiers for Recognition of Handwritten Devnagari
characters using three different feature sets. The features used are
intersection, shadow feature... | computer science |
23,248 | A Two Stage Classification Approach for Handwritten Devanagari
Characters | cs.CV | The paper presents a two stage classification approach for handwritten
devanagari characters The first stage is using structural properties like
shirorekha, spine in character and second stage exploits some intersection
features of characters which are fed to a feedforward neural network. Simple
histogram based method ... | computer science |
23,249 | A novel approach for handwritten Devnagari character recognition | cs.CV | In this paper a method for recognition of handwritten devanagari characters
is described. Here, feature vector is constituted by accumulated directional
gradient changes in different segments, number of intersections points for the
character, type of spine present and type of shirorekha present in the
character. One Mu... | computer science |
23,250 | Classification Of Gradient Change Features Using MLP For Handwritten
Character Recognition | cs.CV | A novel, generic scheme for off-line handwritten English alphabets character
images is proposed. The advantage of the technique is that it can be applied in
a generic manner to different applications and is expected to perform better in
uncertain and noisy environments. The recognition scheme is using a multilayer
perc... | computer science |
23,251 | FPGA Based Assembling of Facial Components for Human Face Construction | cs.CV | This paper aims at VLSI realization for generation of a new face from textual
description. The FASY (FAce SYnthesis) System is a Face Database Retrieval and
new Face generation System that is under development. One of its main features
is the generation of the requested face when it is not found in the existing
databas... | computer science |
23,252 | Fuzzy Classification of Facial Component Parameters | cs.CV | This paper presents a novel type-2 Fuzzy logic System to define the Shape of
a facial component with the crisp output. This work is the part of our main
research effort to design a system (called FASY) which offers a novel face
construction approach based on the textual description and also extracts and
analyzes the fa... | computer science |
23,253 | Weighted Attribute Fusion Model for Face Recognition | cs.CV | Recognizing a face based on its attributes is an easy task for a human to
perform as it is a cognitive process. In recent years, Face Recognition is
achieved with different kinds of facial features which were used separately or
in a combined manner. Currently, Feature fusion methods and parallel methods
are the facial ... | computer science |
23,254 | Fast Color Space Transformations Using Minimax Approximations | cs.CV | Color space transformations are frequently used in image processing,
graphics, and visualization applications. In many cases, these transformations
are complex nonlinear functions, which prohibits their use in time-critical
applications. In this paper, we present a new approach called Minimax
Approximations for Color-s... | computer science |
23,255 | Effective Pedestrian Detection Using Center-symmetric Local
Binary/Trinary Patterns | cs.CV | Accurately detecting pedestrians in images plays a critically important role
in many computer vision applications. Extraction of effective features is the
key to this task. Promising features should be discriminative, robust to
various variations and easy to compute. In this work, we present novel
features, termed dens... | computer science |
23,256 | Distance Measures for Reduced Ordering Based Vector Filters | cs.CV | Reduced ordering based vector filters have proved successful in removing
long-tailed noise from color images while preserving edges and fine image
details. These filters commonly utilize variants of the Minkowski distance to
order the color vectors with the aim of distinguishing between noisy and
noise-free vectors. In... | computer science |
23,257 | Real-Time Implementation of Order-Statistics Based Directional Filters | cs.CV | Vector filters based on order-statistics have proved successful in removing
impulsive noise from color images while preserving edges and fine image
details. Among these filters, the ones that involve the cosine distance
function (directional filters) have particularly high computational
requirements, which limits their... | computer science |
23,258 | Cost-Effective Implementation of Order-Statistics Based Vector Filters
Using Minimax Approximations | cs.CV | Vector operators based on robust order statistics have proved successful in
digital multichannel imaging applications, particularly color image filtering
and enhancement, in dealing with impulsive noise while preserving edges and
fine image details. These operators often have very high computational
requirements which ... | computer science |
23,259 | A Fast Switching Filter for Impulsive Noise Removal from Color Images | cs.CV | In this paper, we present a fast switching filter for impulsive noise removal
from color images. The filter exploits the HSL color space, and is based on the
peer group concept, which allows for the fast detection of noise in a
neighborhood without resorting to pairwise distance computations between each
pixel. Experim... | computer science |
23,260 | Nonlinear Vector Filtering for Impulsive Noise Removal from Color Images | cs.CV | In this paper, a comprehensive survey of 48 filters for impulsive noise
removal from color images is presented. The filters are formulated using a
uniform notation and categorized into 8 families. The performance of these
filters is compared on a large set of images that cover a variety of domains
using three effective... | computer science |
23,261 | Automatic Detection of Blue-White Veil and Related Structures in
Dermoscopy Images | cs.CV | Dermoscopy is a non-invasive skin imaging technique, which permits
visualization of features of pigmented melanocytic neoplasms that are not
discernable by examination with the naked eye. One of the most important
features for the diagnosis of melanoma in dermoscopy images is the blue-white
veil (irregular, structurele... | computer science |
23,262 | An Improved Objective Evaluation Measure for Border Detection in
Dermoscopy Images | cs.CV | Background: Dermoscopy is one of the major imaging modalities used in the
diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty
and subjectivity of human interpretation, dermoscopy image analysis has become
an important research area. One of the most important steps in dermoscopy image
analysis ... | computer science |
23,263 | Approximate Lesion Localization in Dermoscopy Images | cs.CV | Background: Dermoscopy is one of the major imaging modalities used in the
diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty
and subjectivity of human interpretation, automated analysis of dermoscopy
images has become an important research area. Border detection is often the
first step in thi... | computer science |
23,264 | Evolutionary Computational Method of Facial Expression Analysis for
Content-based Video Retrieval using 2-Dimensional Cellular Automata | cs.CV | In this paper, Deterministic Cellular Automata (DCA) based video shot
classification and retrieval is proposed. The deterministic 2D Cellular
automata model captures the human facial expressions, both spontaneous and
posed. The determinism stems from the fact that the facial muscle actions are
standardized by the encod... | computer science |
23,265 | Invariant Spectral Hashing of Image Saliency Graph | cs.CV | Image hashing is the process of associating a short vector of bits to an
image. The resulting summaries are useful in many applications including image
indexing, image authentication and pattern recognition. These hashes need to be
invariant under transformations of the image that result in similar visual
content, but ... | computer science |
23,266 | Asymmetric Totally-corrective Boosting for Real-time Object Detection | cs.CV | Real-time object detection is one of the core problems in computer vision.
The cascade boosting framework proposed by Viola and Jones has become the
standard for this problem. In this framework, the learning goal for each node
is asymmetric, which is required to achieve a high detection rate and a
moderate false positi... | computer science |
23,267 | 3D-Mesh denoising using an improved vertex based anisotropic diffusion | cs.CV | This paper deals with an improvement of vertex based nonlinear diffusion for
mesh denoising. This method directly filters the position of the vertices using
Laplace, reduced centered Gaussian and Rayleigh probability density functions
as diffusivities. The use of these PDFs improves the performance of a
vertex-based di... | computer science |
23,268 | Balancing clusters to reduce response time variability in large scale
image search | cs.CV | Many algorithms for approximate nearest neighbor search in high-dimensional
spaces partition the data into clusters. At query time, in order to avoid
exhaustive search, an index selects the few (or a single) clusters nearest to
the query point. Clusters are often produced by the well-known $k$-means
approach since it h... | computer science |
23,269 | Modeling Instantaneous Changes In Natural Scenes | cs.CV | This project aims to create 3d model of the natural world and model changes
in it instantaneously. A framework for modeling instantaneous changes natural
scenes in real time using Lagrangian Particle Framework and a fluid-particle
grid approach is presented. This project is presented in the form of a
proof-based system... | computer science |
23,270 | Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques | cs.CV | We propose a mid-level image segmentation framework that combines multiple
figure-ground hypothesis (FG) constrained at different locations and scales,
into interpretations that tile the entire image. The problem is cast as
optimization over sets of maximal cliques sampled from the graph connecting
non-overlapping, put... | computer science |
23,271 | Rotation Invariant Face Detection Using Wavelet, PCA and Radial Basis
Function Networks | cs.CV | This paper introduces a novel method for human face detection with its
orientation by using wavelet, principle component analysis (PCA) and redial
basis networks. The input image is analyzed by two-dimensional wavelet and a
two-dimensional stationary wavelet. The common goals concern are the image
clearance and simplif... | computer science |
23,272 | Face Detection with Effective Feature Extraction | cs.CV | There is an abundant literature on face detection due to its important role
in many vision applications. Since Viola and Jones proposed the first real-time
AdaBoost based face detector, Haar-like features have been adopted as the
method of choice for frontal face detection. In this work, we show that simple
features ot... | computer science |
23,273 | Multiple View Reconstruction of Calibrated Images using Singular Value
Decomposition | cs.CV | Calibration in a multi camera network has widely been studied for over
several years starting from the earlier days of photogrammetry. Many authors
have presented several calibration algorithms with their relative advantages
and disadvantages. In a stereovision system, multiple view reconstruction is a
challenging task... | computer science |
23,274 | Lesion Border Detection in Dermoscopy Images | cs.CV | Background: Dermoscopy is one of the major imaging modalities used in the
diagnosis of melanoma and other pigmented skin lesions. Due to the difficulty
and subjectivity of human interpretation, computerized analysis of dermoscopy
images has become an important research area. One of the most important steps
in dermoscop... | computer science |
23,275 | Featureless 2D-3D Pose Estimation by Minimising an
Illumination-Invariant Loss | cs.CV | The problem of identifying the 3D pose of a known object from a given 2D
image has important applications in Computer Vision ranging from robotic vision
to image analysis. Our proposed method of registering a 3D model of a known
object on a given 2D photo of the object has numerous advantages over existing
methods: It ... | computer science |
23,276 | Single Frame Image super Resolution using Learned Directionlets | cs.CV | In this paper, a new directionally adaptive, learning based, single image
super resolution method using multiple direction wavelet transform, called
Directionlets is presented. This method uses directionlets to effectively
capture directional features and to extract edge information along different
directions of a set ... | computer science |
23,277 | Bounded Multivariate Surfaces On Monovariate Internal Functions | cs.CV | Combining the properties of monovariate internal functions as proposed in
Kolmogorov superimposition theorem, in tandem with the bounds wielded by the
multivariate formulation of Chebyshev inequality, a hybrid model is presented,
that decomposes images into homogeneous probabilistically bounded multivariate
surfaces. G... | computer science |
23,278 | Classification with Scattering Operators | cs.CV | A scattering vector is a local descriptor including multiscale and
multi-direction co-occurrence information. It is computed with a cascade of
wavelet decompositions and complex modulus. This scattering representation is
locally translation invariant and linearizes deformations. A supervised
classification algorithm is... | computer science |
23,279 | The Data Replication Method for the Classification with Reject Option | cs.CV | Classification is one of the most important tasks of machine learning.
Although the most well studied model is the two-class problem, in many
scenarios there is the opportunity to label critical items for manual revision,
instead of trying to automatically classify every item. In this paper we adapt
a paradigm initiall... | computer science |
23,280 | A Fuzzy Clustering Model for Fuzzy Data with Outliers | cs.CV | In this paper a fuzzy clustering model for fuzzy data with outliers is
proposed. The model is based on Wasserstein distance between interval valued
data which is generalized to fuzzy data. In addition, Keller's approach is used
to identify outliers and reduce their influences. We have also defined a
transformation to c... | computer science |
23,281 | Generalized Tree-Based Wavelet Transform | cs.CV | In this paper we propose a new wavelet transform applicable to functions
defined on graphs, high dimensional data and networks. The proposed method
generalizes the Haar-like transform proposed in [1], and it is defined via a
hierarchical tree, which is assumed to capture the geometry and structure of
the input data. It... | computer science |
23,282 | Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces | cs.CV | The goal of this paper is the development of a novel approach for the problem
of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces
(RKHS). The problem is cast as an optimization task in a RKHS, by taking
advantage of the celebrated semiparametric Representer Theorem. Examples verify
that in the p... | computer science |
23,283 | Learning sparse representations of depth | cs.CV | This paper introduces a new method for learning and inferring sparse
representations of depth (disparity) maps. The proposed algorithm relaxes the
usual assumption of the stationary noise model in sparse coding. This enables
learning from data corrupted with spatially varying noise or uncertainty,
typically obtained by... | computer science |
23,284 | Sparse motion segmentation using multiple six-point consistencies | cs.CV | We present a method for segmenting an arbitrary number of moving objects in
image sequences using the geometry of 6 points in 2D to infer motion
consistency. The method has been evaluated on the Hopkins 155 database and
surpasses current state-of-the-art methods such as SSC, both in terms of
overall performance on two ... | computer science |
23,285 | Affine Invariant, Model-Based Object Recognition Using Robust Metrics
and Bayesian Statistics | cs.CV | We revisit the problem of model-based object recognition for intensity images
and attempt to address some of the shortcomings of existing Bayesian methods,
such as unsuitable priors and the treatment of residuals with a non-robust
error norm. We do so by using a refor- mulation of the Huber metric and
carefully chosen ... | computer science |
23,286 | Real-time Visual Tracking Using Sparse Representation | cs.CV | The $\ell_1$ tracker obtains robustness by seeking a sparse representation of
the tracking object via $\ell_1$ norm minimization \cite{Xue_ICCV_09_Track}.
However, the high computational complexity involved in the $ \ell_1 $ tracker
restricts its further applications in real time processing scenario. Hence we
propose a... | computer science |
23,287 | TILT: Transform Invariant Low-rank Textures | cs.CV | In this paper, we show how to efficiently and effectively extract a class of
"low-rank textures" in a 3D scene from 2D images despite significant
corruptions and warping. The low-rank textures capture geometrically meaningful
structures in an image, which encompass conventional local features such as
edges and corners ... | computer science |
23,288 | Detecting Image Forgeries using Geometric Cues | cs.CV | This chapter presents a framework for detecting fake regions by using various
methods including watermarking technique and blind approaches. In particular,
we describe current categories on blind approaches which can be divided into
five: pixel-based techniques, format-based techniques, camera-based techniques,
physica... | computer science |
23,289 | Diffusion-geometric maximally stable component detection in deformable
shapes | cs.CV | Maximally stable component detection is a very popular method for feature
analysis in images, mainly due to its low computation cost and high
repeatability. With the recent advance of feature-based methods in geometric
shape analysis, there is significant interest in finding analogous approaches
in the 3D world. In thi... | computer science |
23,290 | Affine-invariant diffusion geometry for the analysis of deformable 3D
shapes | cs.CV | We introduce an (equi-)affine invariant diffusion geometry by which surfaces
that go through squeeze and shear transformations can still be properly
analyzed. The definition of an affine invariant metric enables us to construct
an invariant Laplacian from which local and global geometric structures are
extracted. Appli... | computer science |
23,291 | Affine-invariant geodesic geometry of deformable 3D shapes | cs.CV | Natural objects can be subject to various transformations yet still preserve
properties that we refer to as invariants. Here, we use definitions of affine
invariant arclength for surfaces in R^3 in order to extend the set of existing
non-rigid shape analysis tools. In fact, we show that by re-defining the
surface metri... | computer science |
23,292 | Modeling Dynamic Swarms | cs.CV | This paper proposes the problem of modeling video sequences of dynamic swarms
(DS). We define DS as a large layout of stochastically repetitive spatial
configurations of dynamic objects (swarm elements) whose motions exhibit local
spatiotemporal interdependency and stationarity, i.e., the motions are similar
in any sma... | computer science |
23,293 | Feature selection via simultaneous sparse approximation for person
specific face verification | cs.CV | There is an increasing use of some imperceivable and redundant local features
for face recognition. While only a relatively small fraction of them is
relevant to the final recognition task, the feature selection is a crucial and
necessary step to select the most discriminant ones to obtain a compact face
representation... | computer science |
23,294 | SHREC 2011: robust feature detection and description benchmark | cs.CV | Feature-based approaches have recently become very popular in computer vision
and image analysis applications, and are becoming a promising direction in
shape retrieval. SHREC'11 robust feature detection and description benchmark
simulates the feature detection and description stages of feature-based shape
retrieval al... | computer science |
23,295 | A novel super resolution reconstruction of low reoslution images
progressively using dct and zonal filter based denoising | cs.CV | Due to the factors like processing power limitations and channel capabilities
images are often down sampled and transmitted at low bit rates resulting in a
low resolution compressed image. High resolution images can be reconstructed
from several blurred, noisy and down sampled low resolution images using a
computationa... | computer science |
23,296 | Automatic Detection of Ringworm using Local Binary Pattern (LBP) | cs.CV | In this paper we present a novel approach for automatic recognition of ring
worm skin disease based on LBP (Local Binary Pattern) feature extracted from
the affected skin images. The proposed method is evaluated by extensive
experiments on the skin images collected from internet. The dataset is tested
using three diffe... | computer science |
23,297 | A Semi-Automatic Graph-Based Approach for Determining the Boundary of
Eloquent Fiber Bundles in the Human Brain | cs.CV | Diffusion Tensor Imaging (DTI) allows estimating the position, orientation
and dimension of bundles of nerve pathways. This non-invasive imaging technique
takes advantage of the diffusion of water molecules and determines the
diffusion coefficients for every voxel of the data set. The identification of
the diffusion co... | computer science |
23,298 | All Roads Lead To Rome | cs.CV | This short article presents a class of projection-based solution algorithms
to the problem considered in the pioneering work on compressed sensing -
perfect reconstruction of a phantom image from 22 radial lines in the frequency
domain. Under the framework of projection-based image reconstruction, we will
show experime... | computer science |
23,299 | Ray-Based and Graph-Based Methods for Fiber Bundle Boundary Estimation | cs.CV | Diffusion Tensor Imaging (DTI) provides the possibility of estimating the
location and course of eloquent structures in the human brain. Knowledge about
this is of high importance for preoperative planning of neurosurgical
interventions and for intraoperative guidance by neuronavigation in order to
minimize postoperati... | computer science |
23,300 | Off-Line Handwritten Signature Identification Using Rotated Complex
Wavelet Filters | cs.CV | In this paper, a new method for handwritten signature identification based on
rotated complex wavelet filters is proposed. We have proposed to use the
rotated complex wavelet filters (RCWF) and dual tree complex wavelet
transform(DTCWT) together to derive signature feature extraction, which
captures information in twel... | computer science |
23,301 | Automatic Extraction of Open Space Area from High Resolution Urban
Satellite Imagery | cs.CV | In the 21st century, Aerial and satellite images are information rich. They
are also complex to analyze. For GIS systems, many features require fast and
reliable extraction of open space area from high resolution satellite imagery.
In this paper we will study efficient and reliable automatic extraction
algorithm to fin... | computer science |
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