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23,502 | Lip Localization and Viseme Classification for Visual Speech Recognition | cs.CV | The need for an automatic lip-reading system is ever increasing. Infact,
today, extraction and reliable analysis of facial movements make up an
important part in many multimedia systems such as videoconference, low
communication systems, lip-reading systems. In addition, visual information is
imperative among people wi... | computer science |
23,503 | Efficient MRF Energy Propagation for Video Segmentation via Bilateral
Filters | cs.CV | Segmentation of an object from a video is a challenging task in multimedia
applications. Depending on the application, automatic or interactive methods
are desired; however, regardless of the application type, efficient computation
of video object segmentation is crucial for time-critical applications;
specifically, mo... | computer science |
23,504 | ChESS - Quick and Robust Detection of Chess-board Features | cs.CV | Localization of chess-board vertices is a common task in computer vision,
underpinning many applications, but relatively little work focusses on
designing a specific feature detector that is fast, accurate and robust. In
this paper the `Chess-board Extraction by Subtraction and Summation' (ChESS)
feature detector, desi... | computer science |
23,505 | Image registration with sparse approximations in parametric dictionaries | cs.CV | We examine in this paper the problem of image registration from the new
perspective where images are given by sparse approximations in parametric
dictionaries of geometric functions. We propose a registration algorithm that
looks for an estimate of the global transformation between sparse images by
examining the set of... | computer science |
23,506 | Robust Face Recognition via Block Sparse Bayesian Learning | cs.CV | Face recognition (FR) is an important task in pattern recognition and
computer vision. Sparse representation (SR) has been demonstrated to be a
powerful framework for FR. In general, an SR algorithm treats each face in a
training dataset as a basis function, and tries to find a sparse representation
of a test face unde... | computer science |
23,507 | Multi-scale Discriminant Saliency with Wavelet-based Hidden Markov Tree
Modelling | cs.CV | The bottom-up saliency, an early stage of humans' visual attention, can be
considered as a binary classification problem between centre and surround
classes. Discriminant power of features for the classification is measured as
mutual information between distributions of image features and corresponding
classes . As the... | computer science |
23,508 | Fast non parametric entropy estimation for spatial-temporal saliency
method | cs.CV | This paper formulates bottom-up visual saliency as center surround
conditional entropy and presents a fast and efficient technique for the
computation of such a saliency map. It is shown that the new saliency
formulation is consistent with self-information based saliency,
decision-theoretic saliency and Bayesian defini... | computer science |
23,509 | Age group and gender recognition from human facial images | cs.CV | This work presents an automatic human gender and age group recognition system
based on human facial images. It makes an extensive experiment with row pixel
intensity valued features and Discrete Cosine Transform (DCT) coefficient
features with Principal Component Analysis and k-Nearest Neighbor
classification to identi... | computer science |
23,510 | The two-dimensional Gabor function adapted to natural image statistics:
An analytical model of simple-cell responses in the early visual system | cs.CV | The two-dimensional Gabor function is adapted to natural image statistics by
learning the joint distribution of the Gabor function parameters. The joint
distribution is then approximated to yield an analytical model of simple-cell
receptive fields. Adapting a basis of Gabor functions is found to take an order
of magnit... | computer science |
23,511 | Stroke-Based Cursive Character Recognition | cs.CV | Human eye can see and read what is written or displayed either in natural
handwriting or in printed format. The same work in case the machine does is
called handwriting recognition. Handwriting recognition can be broken down into
two categories: off-line and on-line. ... | computer science |
23,512 | Lie Algebrized Gaussians for Image Representation | cs.CV | We present an image representation method which is derived from analyzing
Gaussian probability density function (\emph{pdf}) space using Lie group
theory. In our proposed method, images are modeled by Gaussian mixture models
(GMMs) which are adapted from a globally trained GMM called universal
background model (UBM). T... | computer science |
23,513 | Multiscale Hybrid Non-local Means Filtering Using Modified Similarity
Measure | cs.CV | A new multiscale implementation of non-local means filtering for image
denoising is proposed. The proposed algorithm also introduces a modification of
similarity measure for patch comparison. The standard Euclidean norm is
replaced by weighted Euclidean norm for patch based comparison. Assuming the
patch as an oriented... | computer science |
23,514 | Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of
Foreground Speed, Size and Texture | cs.CV | A robust and efficient anomaly detection technique is proposed, capable of
dealing with crowded scenes where traditional tracking based approaches tend to
fail. Initial foreground segmentation of the input frames confines the analysis
to foreground objects and effectively ignores irrelevant background dynamics.
Input f... | computer science |
23,515 | A software for aging faces applied to ancient marble busts | cs.CV | The study and development of software able to show the effect of aging of
faces is one of the tasks of face recognition technologies. Some software
solutions are used for investigations, some others to show the effects of drugs
on healthy appearance, however some other applications can be proposed for the
analysis of v... | computer science |
23,516 | Integration of spatio-temporal contrast sensitivity with a multi-slice
channelized Hotelling observer | cs.CV | Barten's model of spatio-temporal contrast sensitivity function of human
visual system is embedded in a multi-slice channelized Hotelling observer. This
is done by 3D filtering of the stack of images with the spatio-temporal
contrast sensitivity function and feeding the result (i.e., the perceived image
stack) to the m... | computer science |
23,517 | Multiscale Fractal Descriptors Applied to Texture Classification | cs.CV | This work proposes the combination of multiscale transform with fractal
descriptors employed in the classification of gray-level texture images. We
apply the space-scale transform (derivative + Gaussian filter) over the
Bouligand-Minkowski fractal descriptors, followed by a threshold over the
filter response, aiming at... | computer science |
23,518 | Spectral Descriptors for Graph Matching | cs.CV | In this paper, we consider the weighted graph matching problem. Recently,
approaches to this problem based on spectral methods have gained significant
attention. We propose two graph spectral descriptors based on the graph
Laplacian, namely a Laplacian family signature (LFS) on nodes, and a pairwise
heat kernel distanc... | computer science |
23,519 | Proceedings of the 37th Annual Workshop of the Austrian Association for
Pattern Recognition (ÖAGM/AAPR), 2013 | cs.CV | This volume represents the proceedings of the 37th Annual Workshop of the
Austrian Association for Pattern Recognition (\"OAGM/AAPR), held May 23-24,
2013, in Innsbruck, Austria. | computer science |
23,520 | Facial transformations of ancient portraits: the face of Caesar | cs.CV | Some software solutions used to obtain the facial transformations can help
investigating the artistic metamorphosis of the ancient portraits of the same
person. An analysis with a freely available software of portraitures of Julius
Caesar is proposed, showing his several "morphs". The software helps enhancing
the mood ... | computer science |
23,521 | Automatic Fingerprint Recognition Using Minutiae Matching Technique for
the Large Fingerprint Database | cs.CV | Extracting minutiae from fingerprint images is one of the most important
steps in automatic fingerprint identification system. Because minutiae matching
are certainly the most well-known and widely used method for fingerprint
matching, minutiae are local discontinuities in the fingerprint pattern. In
this paper a finge... | computer science |
23,522 | Image Classification by Feature Dimension Reduction and Graph based
Ranking | cs.CV | Dimensionality reduction (DR) of image features plays an important role in
image retrieval and classification tasks. Recently, two types of methods have
been proposed to improve the both the accuracy and efficiency for the
dimensionality reduction problem. One uses Non-negative matrix factorization
(NMF) to describe th... | computer science |
23,523 | A New Approach To Two-View Motion Segmentation Using Global Dimension
Minimization | cs.CV | We present a new approach to rigid-body motion segmentation from two views.
We use a previously developed nonlinear embedding of two-view point
correspondences into a 9-dimensional space and identify the different motions
by segmenting lower-dimensional subspaces. In order to overcome nonuniform
distributions along the... | computer science |
23,524 | Rotational Projection Statistics for 3D Local Surface Description and
Object Recognition | cs.CV | Recognizing 3D objects in the presence of noise, varying mesh resolution,
occlusion and clutter is a very challenging task. This paper presents a novel
method named Rotational Projection Statistics (RoPS). It has three major
modules: Local Reference Frame (LRF) definition, RoPS feature description and
3D object recogni... | computer science |
23,525 | Developing and Analyzing Boundary Detection Operators Using
Probabilistic Models | cs.CV | Most feature detectors such as edge detectors or circle finders are
statistical, in the sense that they decide at each point in an image about the
presence of a feature, this paper describes the use of Bayesian feature
detectors. | computer science |
23,526 | Single View Depth Estimation from Examples | cs.CV | We describe a non-parametric, "example-based" method for estimating the depth
of an object, viewed in a single photo. Our method consults a database of
example 3D geometries, searching for those which look similar to the object in
the photo. The known depths of the selected database objects act as shape
priors which co... | computer science |
23,527 | Multispectral Spatial Characterization: Application to Mitosis Detection
in Breast Cancer Histopathology | cs.CV | Accurate detection of mitosis plays a critical role in breast cancer
histopathology. Manual detection and counting of mitosis is tedious and subject
to considerable inter- and intra-reader variations. Multispectral imaging is a
recent medical imaging technology, proven successful in increasing the
segmentation accuracy... | computer science |
23,528 | Shadow Estimation Method for "The Episolar Constraint: Monocular Shape
from Shadow Correspondence" | cs.CV | Recovering shadows is an important step for many vision algorithms. Current
approaches that work with time-lapse sequences are limited to simple
thresholding heuristics. We show these approaches only work with very careful
tuning of parameters, and do not work well for long-term time-lapse sequences
taken over the span... | computer science |
23,529 | Heterogeneous patterns enhancing static and dynamic texture
classification | cs.CV | Some mixtures, such as colloids like milk, blood, and gelatin, have
homogeneous appearance when viewed with the naked eye, however, to observe them
at the nanoscale is possible to understand the heterogeneity of its components.
The same phenomenon can occur in pattern recognition in which it is possible to
see heteroge... | computer science |
23,530 | Tracking of Fingertips and Centres of Palm using KINECT | cs.CV | Hand Gesture is a popular way to interact or control machines and it has been
implemented in many applications. The geometry of hand is such that it is hard
to construct in virtual environment and control the joints but the
functionality and DOF encourage researchers to make a hand like instrument.
This paper presents ... | computer science |
23,531 | Automated Switching System for Skin Pixel Segmentation in Varied
Lighting | cs.CV | In Computer Vision, colour-based spatial techniquesoften assume a static skin
colour model. However, skin colour perceived by a camera can change when
lighting changes. In common real environment multiple light sources impinge on
the skin. Moreover, detection techniques may vary when the image under study is
taken unde... | computer science |
23,532 | Robust Noise Filtering in Image Sequences | cs.CV | Image sequences filtering have recently become a very important technical
problem especially with the advent of new technology in multimedia and video
systems applications. Often image sequences are corrupted by some amount of
noise introduced by the image sensor and therefore inherently present in the
imaging process.... | computer science |
23,533 | Polygon Matching and Indexing Under Affine Transformations | cs.CV | Given a collection $\{Z_1,Z_2,\ldots,Z_m\}$ of $n$-sided polygons in the
plane and a query polygon $W$ we give algorithms to find all $Z_\ell$ such that
$W=f(Z_\ell)$ with $f$ an unknown similarity transformation in time independent
of the size of the collection. If $f$ is a known affine transformation, we show
how to ... | computer science |
23,534 | Object Tracking in Videos: Approaches and Issues | cs.CV | Mobile object tracking has an important role in the computer vision
applications. In this paper, we use a tracked target-based taxonomy to present
the object tracking algorithms. The tracked targets are divided into three
categories: points of interest, appearance and silhouette of mobile objects.
Advantages and limita... | computer science |
23,535 | A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map
Super-Resolution | cs.CV | High-resolution depth maps can be inferred from low-resolution depth
measurements and an additional high-resolution intensity image of the same
scene. To that end, we introduce a bimodal co-sparse analysis model, which is
able to capture the interdependency of registered intensity and depth
information. This model is b... | computer science |
23,536 | Color image denoising by chromatic edges based vector valued diffusion | cs.CV | In this letter we propose to denoise digital color images via an improved
geometric diffusion scheme. By introducing edges detected from all three color
channels into the diffusion the proposed scheme avoids color smearing
artifacts. Vector valued diffusion is used to control the smoothing and the
geometry of color ima... | computer science |
23,537 | A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient
Coin Classification | cs.CV | The field of Numismatics provides the names and descriptions of the symbols
minted on the ancient coins. Classification of the ancient coins aims at
assigning a given coin to its issuer. Various issuers used various symbols for
their coins. We propose to use these symbols for a framework that will coarsely
classify the... | computer science |
23,538 | Counting people from above: Airborne video based crowd analysis | cs.CV | Crowd monitoring and analysis in mass events are highly important
technologies to support the security of attending persons. Proposed methods
based on terrestrial or airborne image/video data often fail in achieving
sufficiently accurate results to guarantee a robust service. We present a novel
framework for estimating... | computer science |
23,539 | Learning Visual Symbols for Parsing Human Poses in Images | cs.CV | Parsing human poses in images is fundamental in extracting critical visual
information for artificial intelligent agents. Our goal is to learn
self-contained body part representations from images, which we call visual
symbols, and their symbol-wise geometric contexts in this parsing process. Each
symbol is individually... | computer science |
23,540 | Semi-Optimal Edge Detector based on Simple Standard Deviation with
Adjusted Thresholding | cs.CV | This paper proposes a novel method which combines both median filter and
simple standard deviation to accomplish an excellent edge detector for image
processing. First of all, a denoising process must be applied on the grey scale
image using median filter to identify pixels which are likely to be
contaminated by noise.... | computer science |
23,541 | k-Modulus Method for Image Transformation | cs.CV | In this paper, we propose a new algorithm to make a novel spatial image
transformation. The proposed approach aims to reduce the bit depth used for
image storage. The basic technique for the proposed transformation is based of
the modulus operator. The goal is to transform the whole image into multiples
of predefined i... | computer science |
23,542 | Digit Recognition in Handwritten Weather Records | cs.CV | This paper addresses the automatic recognition of handwritten temperature
values in weather records. The localization of table cells is based on line
detection using projection profiles. Further, a stroke-preserving line removal
method which is based on gradient images is proposed. The presented digit
recognition utili... | computer science |
23,543 | Euclidean Upgrade from a Minimal Number of Segments | cs.CV | In this paper, we propose an algebraic approach to upgrade a projective
reconstruction to a Euclidean one, and aim at computing the rectifying
homography from a minimal number of 9 segments of known length. Constraints are
derived from these segments which yield a set of polynomial equations that we
solve by means of G... | computer science |
23,544 | A Convex Approach for Image Hallucination | cs.CV | In this paper we propose a global convex approach for image hallucination.
Altering the idea of classical multi image super resolution (SU) systems to
single image SU, we incorporate aligned images to hallucinate the output. Our
work is based on the paper of Tappen et al. where they use a non-convex model
for image hal... | computer science |
23,545 | Reading Ancient Coin Legends: Object Recognition vs. OCR | cs.CV | Standard OCR is a well-researched topic of computer vision and can be
considered solved for machine-printed text. However, when applied to
unconstrained images, the recognition rates drop drastically. Therefore, the
employment of object recognition-based techniques has become state of the art
in scene text recognition ... | computer science |
23,546 | Algorithmic Optimisations for Iterative Deconvolution Methods | cs.CV | We investigate possibilities to speed up iterative algorithms for non-blind
image deconvolution. We focus on algorithms in which convolution with the
point-spread function to be deconvolved is used in each iteration, and aim at
accelerating these convolution operations as they are typically the most
expensive part of t... | computer science |
23,547 | In the sight of my wearable camera: Classifying my visual experience | cs.CV | We introduce and we analyze a new dataset which resembles the input to
biological vision systems much more than most previously published ones. Our
analysis leaded to several important conclusions. First, it is possible to
disambiguate over dozens of visual scenes (locations) encountered over the
course of several week... | computer science |
23,548 | Convolutional Neural Networks learn compact local image descriptors | cs.CV | A standard deep convolutional neural network paired with a suitable loss
function learns compact local image descriptors that perform comparably to
state-of-the art approaches. | computer science |
23,549 | Registration of Images with Outliers Using Joint Saliency Map | cs.CV | Mutual information (MI) is a popular similarity measure for image
registration, whereby good registration can be achieved by maximizing the
compactness of the clusters in the joint histogram. However, MI is sensitive to
the "outlier" objects that appear in one image but not the other, and also
suffers from local and bi... | computer science |
23,550 | Fractal-Based Detection of Microcalcification Clusters in Digital
Mammograms | cs.CV | In this paper, a novel method for edge detection of microcalcification
clusters in mammogram images is presented using the concept of Fractal
Dimension and Hurst co-efficient that enables to locate the microcalcifications
in the mammograms. This technique detects the edges accurately than the ones
obtained by the conve... | computer science |
23,551 | Image Inpainting by Kriging Interpolation Technique | cs.CV | Image inpainting is the art of predicting damaged regions of an image. The
manual way of image inpainting is a time consuming. Therefore, there must be an
automatic digital method for image inpainting that recovers the image from the
damaged regions. In this paper, a novel statistical image inpainting algorithm
based o... | computer science |
23,552 | An Analysis of the Connections Between Layers of Deep Neural Networks | cs.CV | We present an analysis of different techniques for selecting the connection
be- tween layers of deep neural networks. Traditional deep neural networks use
ran- dom connection tables between layers to keep the number of connections
small and tune to different image features. This kind of connection performs
adequately i... | computer science |
23,553 | Distributed Bayesian inference for consistent labeling of tracked
objects in non-overlapping camera networks | cs.CV | One of the fundamental requirements for visual surveillance using
non-overlapping camera networks is the correct labeling of tracked objects on
each camera in a consistent way,in the sense that the captured tracklets, or
observations in this paper, of the same object at different cameras should be
assigned with the sam... | computer science |
23,554 | Recognition of Indian Sign Language in Live Video | cs.CV | Sign Language Recognition has emerged as one of the important area of
research in Computer Vision. The difficulty faced by the researchers is that
the instances of signs vary with both motion and appearance. Thus, in this
paper a novel approach for recognizing various alphabets of Indian Sign
Language is proposed where... | computer science |
23,555 | K-Algorithm A Modified Technique for Noise Removal in Handwritten
Documents | cs.CV | OCR has been an active research area since last few decades. OCR performs the
recognition of the text in the scanned document image and converts it into
editable form. The OCR process can have several stages like pre-processing,
segmentation, recognition and post processing. The pre-processing stage is a
crucial stage ... | computer science |
23,556 | Infrared face recognition: a literature review | cs.CV | Automatic face recognition (AFR) is an area with immense practical potential
which includes a wide range of commercial and law enforcement applications, and
it continues to be one of the most active research areas of computer vision.
Even after over three decades of intense research, the state-of-the-art in AFR
continu... | computer science |
23,557 | Vesselness features and the inverse compositional AAM for robust face
recognition using thermal IR | cs.CV | Over the course of the last decade, infrared (IR) and particularly thermal IR
imaging based face recognition has emerged as a promising complement to
conventional, visible spectrum based approaches which continue to struggle when
applied in the real world. While inherently insensitive to visible spectrum
illumination c... | computer science |
23,558 | Statistical Denoising for single molecule fluorescence microscopic
images | cs.CV | Single molecule fluorescence microscopy is a powerful technique for
uncovering detailed information about biological systems, both in vitro and in
vivo. In such experiments, the inherently low signal to noise ratios mean that
accurate algorithms to separate true signal and background noise are essential
to generate mea... | computer science |
23,559 | Illumination-invariant face recognition from a single image across
extreme pose using a dual dimension AAM ensemble in the thermal infrared
spectrum | cs.CV | Over the course of the last decade, infrared (IR) and particularly thermal IR
imaging based face recognition has emerged as a promising complement to
conventional, visible spectrum based approaches which continue to struggle when
applied in practice. While inherently insensitive to visible spectrum
illumination changes... | computer science |
23,560 | Speckle Reduction with 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 stacks of
binary images according to a set of thresholds. Each binary image is then
filtered by a Bool... | computer science |
23,561 | Discriminative extended canonical correlation analysis for pattern set
matching | cs.CV | In this paper we address the problem of matching sets of vectors embedded in
the same input space. We propose an approach which is motivated by canonical
correlation analysis (CCA), a statistical technique which has proven successful
in a wide variety of pattern recognition problems. Like CCA when applied to the
matchi... | computer science |
23,562 | Discriminative k-means clustering | cs.CV | The k-means algorithm is a partitional clustering method. Over 60 years old,
it has been successfully used for a variety of problems. The popularity of
k-means is in large part a consequence of its simplicity and efficiency. In
this paper we are inspired by these appealing properties of k-means in the
development of a ... | computer science |
23,563 | Image segmentation by optimal and hierarchical piecewise constant
approximations | cs.CV | Piecewise constant image approximations of sequential number of segments or
clusters of disconnected pixels are treated. The method of majorizing of
optimal approximation sequence by hierarchical sequence of image approximations
is proposed. A generalization for multidimensional case of color and
multispectral images i... | computer science |
23,564 | Hand Gesture Recognition Based on Karhunen-Loeve Transform | cs.CV | In this paper, we have proposed a system based on K-L Transform to recognize
different hand gestures. The system consists of five steps: skin filtering,
palm cropping, edge detection, feature extraction, and classification. Firstly
the hand is detected using skin filtering and palm cropping was performed to
extract out... | computer science |
23,565 | Recurrent Convolutional Neural Networks for Scene Parsing | cs.CV | Scene parsing is a technique that consist on giving a label to all pixels in
an image according to the class they belong to. To ensure a good visual
coherence and a high class accuracy, it is essential for a scene parser to
capture image long range dependencies. In a feed-forward architecture, this can
be simply achiev... | computer science |
23,566 | Optimization of Clustering for Clustering-based Image Denoising | cs.CV | In this paper, the problem of de-noising of an image contaminated with
additive white Gaussian noise (AWGN) is studied. This subject has been
continued to be an open problem in signal processing for more than 50 years. In
the present paper, we suggest a method based on global clustering of image
constructing blocks. No... | computer science |
23,567 | A Face-like Structure Detection on Planet and Satellite Surfaces using
Image Processing | cs.CV | This paper demonstrates that face-like structures are everywhere, and can be
de-tected automatically even with computers. Huge amount of satellite images of
the Earth, the Moon, the Mars are explored and many interesting face-like
structure are detected. Throughout this fact, we believe that science and
technologies ca... | computer science |
23,568 | Segmentation et Interprétation de Nuages de Points pour la
Modélisation d'Environnements Urbains | cs.CV | Dans cet article, nous pr\'esentons une m\'ethode pour la d\'etection et la
classification d'artefacts au niveau du sol, comme phase de filtrage
pr\'ealable \`a la mod\'elisation d'environnements urbains. La m\'ethode de
d\'etection est r\'ealis\'ee sur l'image profondeur, une projection de nuage de
points sur un plan ... | computer science |
23,569 | Feature Learning by Multidimensional Scaling and its Applications in
Object Recognition | cs.CV | We present the MDS feature learning framework, in which multidimensional
scaling (MDS) is applied on high-level pairwise image distances to learn
fixed-length vector representations of images. The aspects of the images that
are captured by the learned features, which we call MDS features, completely
depend on what kind... | computer science |
23,570 | Matching objects across the textured-smooth continuum | cs.CV | The problem of 3D object recognition is of immense practical importance, with
the last decade witnessing a number of breakthroughs in the state of the art.
Most of the previous work has focused on the matching of textured objects using
local appearance descriptors extracted around salient image points. The
recently pro... | computer science |
23,571 | Live-wire 3D medical images segmentation | cs.CV | This report describes the design, implementation, evaluation and original
enhancements to the Live-Wire method for 2D and 3D image segmentation.
Live-Wire 2D employs a semi-automatic paradigm; the user is asked to select a
few boundary points of the object to segment, to steer the process in the right
direction, while ... | computer science |
23,572 | iCub World: Friendly Robots Help Building Good Vision Data-Sets | cs.CV | In this paper we present and start analyzing the iCub World data-set, an
object recognition data-set, we acquired using a Human-Robot Interaction (HRI)
scheme and the iCub humanoid robot platform. Our set up allows for rapid
acquisition and annotation of data with corresponding ground truth. While more
constrained in i... | computer science |
23,573 | Non-Uniform Blind Deblurring with a Spatially-Adaptive Sparse Prior | cs.CV | Typical blur from camera shake often deviates from the standard uniform
convolutional script, in part because of problematic rotations which create
greater blurring away from some unknown center point. Consequently, successful
blind deconvolution requires the estimation of a spatially-varying or
non-uniform blur operat... | computer science |
23,574 | Two-View Matching with View Synthesis Revisited | cs.CV | Wide-baseline matching focussing on problems with extreme viewpoint change is
considered. We introduce the use of view synthesis with affine-covariant
detectors to solve such problems and show that matching with the Hessian-Affine
or MSER detectors outperforms the state-of-the-art ASIFT.
To minimise the loss of speed... | computer science |
23,575 | Classifying and Visualizing Motion Capture Sequences using Deep Neural
Networks | cs.CV | The gesture recognition using motion capture data and depth sensors has
recently drawn more attention in vision recognition. Currently most systems
only classify dataset with a couple of dozens different actions. Moreover,
feature extraction from the data is often computational complex. In this paper,
we propose a nove... | computer science |
23,576 | A Novel Block-DCT and PCA Based Image Perceptual Hashing Algorithm | cs.CV | Image perceptual hashing finds applications in content indexing, large-scale
image database management, certification and authentication and digital
watermarking. We propose a Block-DCT and PCA based image perceptual hash in
this article and explore the algorithm in the application of tamper detection.
The main idea of... | computer science |
23,577 | An Overview of the Research on Texture Based Plant Leaf Classification | cs.CV | Plant classification has a broad application prospective in agriculture and
medicine, and is especially significant to the biology diversity research. As
plants are vitally important for environmental protection, it is more important
to identify and classify them accurately. Plant leaf classification is a
technique whe... | computer science |
23,578 | Felzenszwalb-Baum-Welch: Event Detection by Changing Appearance | cs.CV | We propose a method which can detect events in videos by modeling the change
in appearance of the event participants over time. This method makes it
possible to detect events which are characterized not by motion, but by the
changing state of the people or objects involved. This is accomplished by using
object detector... | computer science |
23,579 | Computer Aided ECG Analysis - State of the Art and Upcoming Challenges | cs.CV | In this paper we present current achievements in computer aided ECG analysis
and their applicability in real world medical diagnosis process. Most of the
current work is covering problems of removing noise, detecting heartbeats and
rhythm-based analysis. There are some advancements in particular ECG segments
detection ... | computer science |
23,580 | Fine-Grained Visual Classification of Aircraft | cs.CV | This paper introduces FGVC-Aircraft, a new dataset containing 10,000 images
of aircraft spanning 100 aircraft models, organised in a three-level hierarchy.
At the finer level, differences between models are often subtle but always
visually measurable, making visual recognition challenging but possible. A
benchmark is o... | computer science |
23,581 | New Approach of Estimating PSNR-B For De-blocked Images | cs.CV | Measurement of image quality is very crucial to many image processing
applications. Quality metrics are used to measure the quality of improvement in
the images after they are processed and compared with the original images.
Compression is one of the applications where it is required to monitor the
quality of decompres... | computer science |
23,582 | A maximal-information color to gray conversion method for document
images: Toward an optimal grayscale representation for document image
binarization | cs.CV | A novel method to convert color/multi-spectral images to gray-level images is
introduced to increase the performance of document binarization methods. The
method uses the distribution of the pixel data of the input document image in a
color space to find a transformation, called the dual transform, which balances
the a... | computer science |
23,583 | Persian Heritage Image Binarization Competition (PHIBC 2012) | cs.CV | The first competition on the binarization of historical Persian documents and
manuscripts (PHIBC 2012) has been organized in conjunction with the first
Iranian conference on pattern recognition and image analysis (PRIA 2013). The
main objective of PHIBC 2012 is to evaluate performance of the binarization
methodologies,... | computer science |
23,584 | Active Contour Models for Manifold Valued Image Segmentation | cs.CV | Image segmentation is the process of partitioning a image into different
regions or groups based on some characteristics like color, texture, motion or
shape etc. Active contours is a popular variational method for object
segmentation in images, in which the user initializes a contour which evolves
in order to optimize... | computer science |
23,585 | A Novel Active Contour Model for Texture Segmentation | cs.CV | Texture is intuitively defined as a repeated arrangement of a basic pattern
or object in an image. There is no mathematical definition of a texture though.
The human visual system is able to identify and segment different textures in a
given image. Automating this task for a computer is far from trivial. There are
thre... | computer science |
23,586 | New Mathematical and Algorithmic Schemes for Pattern Classification with
Application to the Identification of Writers of Important Ancient Documents | cs.CV | In this paper, a novel approach is introduced for classifying curves into
proper families, according to their similarity. First, a mathematical quantity
we call plane curvature is introduced and a number of propositions are stated
and proved. Proper similarity measures of two curves are introduced and a
subsequent stat... | computer science |
23,587 | Graph rigidity, Cyclic Belief Propagation and Point Pattern Matching | cs.CV | A recent paper \cite{CaeCaeSchBar06} proposed a provably optimal, polynomial
time method for performing near-isometric point pattern matching by means of
exact probabilistic inference in a chordal graphical model. Their fundamental
result is that the chordal graph in question is shown to be globally rigid,
implying tha... | computer science |
23,588 | High-Order Nonparametric Belief-Propagation for Fast Image Inpainting | cs.CV | In this paper, we use belief-propagation techniques to develop fast
algorithms for image inpainting. Unlike traditional gradient-based approaches,
which may require many iterations to converge, our techniques achieve
competitive results after only a few iterations. On the other hand, while
belief-propagation techniques... | computer science |
23,589 | An Affinity Propagation Based method for Vector Quantization Codebook
Design | cs.CV | In this paper, we firstly modify a parameter in affinity propagation (AP) to
improve its convergence ability, and then, we apply it to vector quantization
(VQ) codebook design problem. In order to improve the quality of the resulted
codebook, we combine the improved AP (IAP) with the conventional LBG algorithm
to gener... | computer science |
23,590 | Comparison and Combination of State-of-the-art Techniques for
Handwritten Character Recognition: Topping the MNIST Benchmark | cs.CV | Although the recognition of isolated handwritten digits has been a research
topic for many years, it continues to be of interest for the research community
and for commercial applications. We show that despite the maturity of the
field, different approaches still deliver results that vary enough to allow
improvements b... | computer science |
23,591 | Hierarchical Bag of Paths for Kernel Based Shape Classification | cs.CV | Graph kernels methods are based on an implicit embedding of graphs within a
vector space of large dimension. This implicit embedding allows to apply to
graphs methods which where until recently solely reserved to numerical data.
Within the shape classification framework, graphs are often produced by a
skeletonization s... | computer science |
23,592 | Camera distortion self-calibration using the plumb-line constraint and
minimal Hough entropy | cs.CV | In this paper we present a simple and robust method for self-correction of
camera distortion using single images of scenes which contain straight lines.
Since the most common distortion can be modelled as radial distortion, we
illustrate the method using the Harris radial distortion model, but the method
is applicable ... | computer science |
23,593 | Graph-based classification of multiple observation sets | cs.CV | We consider the problem of classification of an object given multiple
observations that possibly include different transformations. The possible
transformations of the object generally span a low-dimensional manifold in the
original signal space. We propose to take advantage of this manifold structure
for the effective... | computer science |
23,594 | 3D Face Recognition with Sparse Spherical Representations | cs.CV | This paper addresses the problem of 3D face recognition using simultaneous
sparse approximations on the sphere. The 3D face point clouds are first aligned
with a novel and fully automated registration process. They are then
represented as signals on the 2D sphere in order to preserve depth and geometry
information. Nex... | computer science |
23,595 | Scale-Based Gaussian Coverings: Combining Intra and Inter Mixture Models
in Image Segmentation | cs.CV | By a "covering" we mean a Gaussian mixture model fit to observed data.
Approximations of the Bayes factor can be availed of to judge model fit to the
data within a given Gaussian mixture model. Between families of Gaussian
mixture models, we propose the R\'enyi quadratic entropy as an excellent and
tractable model comp... | computer science |
23,596 | Kernel Spectral Curvature Clustering (KSCC) | cs.CV | Multi-manifold modeling is increasingly used in segmentation and data
representation tasks in computer vision and related fields. While the general
problem, modeling data by mixtures of manifolds, is very challenging, several
approaches exist for modeling data by mixtures of affine subspaces (which is
often referred to... | computer science |
23,597 | Motion Segmentation by SCC on the Hopkins 155 Database | cs.CV | We apply the Spectral Curvature Clustering (SCC) algorithm to a benchmark
database of 155 motion sequences, and show that it outperforms all other
state-of-the-art methods. The average misclassification rate by SCC is 1.41%
for sequences having two motions and 4.85% for three motions. | computer science |
23,598 | A Method for Extraction and Recognition of Isolated License Plate
Characters | cs.CV | A method to extract and recognize isolated characters in license plates is
proposed. In extraction stage, the proposed method detects isolated characters
by using Difference-of-Gaussian (DOG) function, The DOG function, similar to
Laplacian of Gaussian function, was proven to produce the most stable image
features comp... | computer science |
23,599 | Information tracking approach to segmentation of ultrasound imagery of
prostate | cs.CV | The size and geometry of the prostate are known to be pivotal quantities used
by clinicians to assess the condition of the gland during prostate cancer
screening. As an alternative to palpation, an increasing number of methods for
estimation of the above-mentioned quantities are based on using imagery data of
prostate.... | computer science |
23,600 | Iterative Shrinkage Approach to Restoration of Optical Imagery | cs.CV | The problem of reconstruction of digital images from their degraded
measurements is regarded as a problem of central importance in various fields
of engineering and imaging sciences. In such cases, the degradation is
typically caused by the resolution limitations of an imaging device in use
and/or by the destructive in... | computer science |
23,601 | Automatic Road Lighting System (ARLS) Model Based on Image Processing of
Moving Object | cs.CV | Using a vehicle toy (in next future called vehicle) as a moving object an
automatic road lighting system (ARLS) model is constructed. A digital video
camera with 25 fps is used to capture the vehicle motion as it moves in the
test segment of the road. Captured images are then processed to calculate
vehicle speed. This ... | computer science |
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