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24,302 | A study of parameters affecting visual saliency assessment | cs.CV | Since the early 2000s, computational visual saliency has been a very active
research area. Each year, more and more new models are published in the main
computer vision conferences. Nowadays, one of the big challenges is to find a
way to fairly evaluate all of these models. In this paper, a new framework is
proposed to... | computer science |
24,303 | Visual saliency estimation by integrating features using multiple kernel
learning | cs.CV | In the last few decades, significant achievements have been attained in
predicting where humans look at images through different computational models.
However, how to determine contributions of different visual features to overall
saliency still remains an open problem. To overcome this issue, a recent class
of models ... | computer science |
24,304 | Is Bottom-Up Attention Useful for Scene Recognition? | cs.CV | The human visual system employs a selective attention mechanism to understand
the visual world in an eficient manner. In this paper, we show how
computational models of this mechanism can be exploited for the computer vision
application of scene recognition. First, we consider saliency weighting and
saliency pruning, a... | computer science |
24,305 | Saliency-Guided Perceptual Grouping Using Motion Cues in Region-Based
Artificial Visual Attention | cs.CV | Region-based artificial attention constitutes a framework for bio-inspired
attentional processes on an intermediate abstraction level for the use in
computer vision and mobile robotics. Segmentation algorithms produce regions of
coherently colored pixels. These serve as proto-objects on which the
attentional processes ... | computer science |
24,306 | Appearance Descriptors for Person Re-identification: a Comprehensive
Review | cs.CV | In video-surveillance, person re-identification is the task of recognising
whether an individual has already been observed over a network of cameras.
Typically, this is achieved by exploiting the clothing appearance, as classical
biometric traits like the face are impractical in real-world video surveillance
scenarios.... | computer science |
24,307 | An Adaptive GMM Approach to Background Subtraction for Application in
Real Time Surveillance | cs.CV | Efficient security management has become an important parameter in todays
world. As the problem is growing, there is an urgent need for the introduction
of advanced technology and equipment to improve the state-of art of
surveillance. In this paper we propose a model for real time background
subtraction using AGMM. The... | computer science |
24,308 | 6th International Symposium on Attention in Cognitive Systems 2013 | cs.CV | This volume contains the papers accepted at the 6th International Symposium
on Attention in Cognitive Systems (ISACS 2013), held in Beijing, August 5,
2013. The aim of this symposium is to highlight the central role of attention
on various kinds of performance in cognitive systems processing. It brings
together researc... | computer science |
24,309 | Matching-Constrained Active Contours | cs.CV | In object segmentation by active contours, the initial contour is often
required. Conventionally, the initial contour is provided by the user. This
paper extends the conventional active contour model by incorporating feature
matching in the formulation, which gives rise to a novel matching-constrained
active contour. T... | computer science |
24,310 | Selection Mammogram Texture Descriptors Based on Statistics Properties
Backpropagation Structure | cs.CV | Computer Aided Diagnosis (CAD) system has been developed for the early
detection of breast cancer, one of the most deadly cancer for women. The benign
of mammogram has different texture from malignant. There are fifty mammogram
images used in this work which are divided for training and testing. Therefore,
the selectio... | computer science |
24,311 | Veni Vidi Vici, A Three-Phase Scenario For Parameter Space Analysis in
Image Analysis and Visualization | cs.CV | Automatic analysis of the enormous sets of images is a critical task in life
sciences. This faces many challenges such as: algorithms are highly
parameterized, significant human input is intertwined, and lacking a standard
meta-visualization approach. This paper proposes an alternative iterative
approach for optimizing... | computer science |
24,312 | Automatic Mammogram image Breast Region Extraction and Removal of
Pectoral Muscle | cs.CV | Currently Mammography is a most effective imaging modality used by
radiologists for the screening of breast cancer. Finding an accurate, robust
and efficient breast region segmentation technique still remains a challenging
problem in digital mammography. Extraction of the breast profile region and the
removal of pector... | computer science |
24,313 | Efficient Energy Minimization for Enforcing Statistics | cs.CV | Energy minimization algorithms, such as graph cuts, enable the computation of
the MAP solution under certain probabilistic models such as Markov random
fields. However, for many computer vision problems, the MAP solution under the
model is not the ground truth solution. In many problem scenarios, the system
has access ... | computer science |
24,314 | An Integrated System for 3D Gaze Recovery and Semantic Analysis of Human
Attention | cs.CV | This work describes a computer vision system that enables pervasive mapping
and monitoring of human attention. The key contribution is that our methodology
enables full 3D recovery of the gaze pointer, human view frustum and associated
human centered measurements directly into an automatically computed 3D model in
real... | computer science |
24,315 | Hybrid Affinity Propagation | cs.CV | In this paper, we address a problem of managing tagged images with hybrid
summarization. We formulate this problem as finding a few image exemplars to
represent the image set semantically and visually, and solve it in a hybrid way
by exploiting both visual and textual information associated with images. We
propose a no... | computer science |
24,316 | A Prototyping Environment for Integrated Artificial Attention Systems | cs.CV | Artificial visual attention systems aim to support technical systems in
visual tasks by applying the concepts of selective attention observed in humans
and other animals. Such systems are typically evaluated against ground truth
obtained from human gaze-data or manually annotated test images. When applied
to robotics, ... | computer science |
24,317 | Who and Where: People and Location Co-Clustering | cs.CV | In this paper, we consider the clustering problem on images where each image
contains patches in people and location domains. We exploit the correlation
between people and location domains, and proposed a semi-supervised
co-clustering algorithm to cluster images. Our algorithm updates the
correlation links at the runti... | computer science |
24,318 | Personal Identification from Lip-Print Features using a Statistical
Model | cs.CV | This paper presents a novel approach towards identification of human beings
from the statistical analysis of their lip prints. Lip features are extracted
by studying the spatial orientations of the grooves present in lip prints of
individuals using standard edge detection techniques. Horizontal, vertical and
diagonal g... | computer science |
24,319 | Analysis of Amoeba Active Contours | cs.CV | Subject of this paper is the theoretical analysis of structure-adaptive
median filter algorithms that approximate curvature-based PDEs for image
filtering and segmentation. These so-called morphological amoeba filters are
based on a concept introduced by Lerallut et al. They achieve similar results
as the well-known ge... | computer science |
24,320 | Object Detection Using Keygraphs | cs.CV | We propose a new framework for object detection based on a generalization of
the keypoint correspondence framework. This framework is based on replacing
keypoints by keygraphs, i.e. isomorph directed graphs whose vertices are
keypoints, in order to explore relative and structural information. Unlike
similar works in th... | computer science |
24,321 | Surface Registration Using Genetic Algorithm in Reduced Search Space | cs.CV | Surface registration is a technique that is used in various areas such as
object recognition and 3D model reconstruction. Problem of surface registration
can be analyzed as an optimization problem of seeking a rigid motion between
two different views. Genetic algorithms can be used for solving this
optimization problem... | computer science |
24,322 | Filtering for More Accurate Dense Tissue Segmentation in Digitized
Mammograms | cs.CV | Breast tissue segmentation into dense and fat tissue is important for
determining the breast density in mammograms. Knowing the breast density is
important both in diagnostic and computer-aided detection applications. There
are many different ways to express the density of a breast and good quality
segmentation should ... | computer science |
24,323 | Flexible Visual Quality Inspection in Discrete Manufacturing | cs.CV | Most visual quality inspections in discrete manufacturing are composed of
length, surface, angle or intensity measurements. Those are implemented as
end-user configurable inspection tools that should not require an image
processing expert to set up. Currently available software solutions providing
such capability use a... | computer science |
24,324 | Using the Random Sprays Retinex Algorithm for Global Illumination
Estimation | cs.CV | In this paper the use of Random Sprays Retinex (RSR) algorithm for global
illumination estimation is proposed and its feasibility tested. Like other
algorithms based on the Retinex model, RSR also provides local illumination
estimation and brightness adjustment for each pixel and it is faster than other
path-wise Retin... | computer science |
24,325 | Combining Spatio-Temporal Appearance Descriptors and Optical Flow for
Human Action Recognition in Video Data | cs.CV | This paper proposes combining spatio-temporal appearance (STA) descriptors
with optical flow for human action recognition. The STA descriptors are local
histogram-based descriptors of space-time, suitable for building a partial
representation of arbitrary spatio-temporal phenomena. Because of the
possibility of iterati... | computer science |
24,326 | A Novel Georeferenced Dataset for Stereo Visual Odometry | cs.CV | In this work, we present a novel dataset for assessing the accuracy of stereo
visual odometry. The dataset has been acquired by a small-baseline stereo rig
mounted on the top of a moving car. The groundtruth is supplied by a consumer
grade GPS device without IMU. Synchronization and alignment between GPS
readings and s... | computer science |
24,327 | Multiclass Road Sign Detection using Multiplicative Kernel | cs.CV | We consider the problem of multiclass road sign detection using a
classification function with multiplicative kernel comprised from two kernels.
We show that problems of detection and within-foreground classification can be
jointly solved by using one kernel to measure object-background differences and
another one to a... | computer science |
24,328 | Global Localization Based on 3D Planar Surface Segments | cs.CV | Global localization of a mobile robot using planar surface segments extracted
from depth images is considered. The robot's environment is represented by a
topological map consisting of local models, each representing a particular
location modeled by a set of planar surface segments. The discussed
localization approach ... | computer science |
24,329 | Computer Vision Systems in Road Vehicles: A Review | cs.CV | The number of road vehicles significantly increased in recent decades. This
trend accompanied a build-up of road infrastructure and development of various
control systems to increase road traffic safety, road capacity and travel
comfort. In traffic safety significant development has been made and today's
systems more a... | computer science |
24,330 | Classifying Traffic Scenes Using The GIST Image Descriptor | cs.CV | This paper investigates classification of traffic scenes in a very low
bandwidth scenario, where an image should be coded by a small number of
features. We introduce a novel dataset, called the FM1 dataset, consisting of
5615 images of eight different traffic scenes: open highway, open road,
settlement, tunnel, tunnel ... | computer science |
24,331 | An Overview and Evaluation of Various Face and Eyes Detection Algorithms
for Driver Fatigue Monitoring Systems | cs.CV | In this work various methods and algorithms for face and eyes detection are
examined in order to decide which of them are applicable for use in a driver
fatigue monitoring system. In the case of face detection the standard
Viola-Jones face detector has shown best results, while the method of finding
the eye centers by ... | computer science |
24,332 | Second Croatian Computer Vision Workshop (CCVW 2013) | cs.CV | Proceedings of the Second Croatian Computer Vision Workshop (CCVW 2013,
http://www.fer.unizg.hr/crv/ccvw2013) held September 19, 2013, in Zagreb,
Croatia. Workshop was organized by the Center of Excellence for Computer Vision
of the University of Zagreb. | computer science |
24,333 | The complex-valued encoding for dicision-making based on aliasing data | cs.CV | It is proposed a complex valued channel encoding for multidimensional data.
The basic approach contains overlapping of complex nonlinear mappings. Its
development leads to sparse representation of multi-channel data, increasing
their dimensions and the distance between the images. | computer science |
24,334 | Second order scattering descriptors predict fMRI activity due to visual
textures | cs.CV | Second layer scattering descriptors are known to provide good classification
performance on natural quasi-stationary processes such as visual textures due
to their sensitivity to higher order moments and continuity with respect to
small deformations. In a functional Magnetic Resonance Imaging (fMRI)
experiment we prese... | computer science |
24,335 | DeCAF: A Deep Convolutional Activation Feature for Generic Visual
Recognition | cs.CV | We evaluate whether features extracted from the activation of a deep
convolutional network trained in a fully supervised fashion on a large, fixed
set of object recognition tasks can be re-purposed to novel generic tasks. Our
generic tasks may differ significantly from the originally trained tasks and
there may be insu... | computer science |
24,336 | Online Unsupervised Feature Learning for Visual Tracking | cs.CV | Feature encoding with respect to an over-complete dictionary learned by
unsupervised methods, followed by spatial pyramid pooling, and linear
classification, has exhibited powerful strength in various vision applications.
Here we propose to use the feature learning pipeline for visual tracking.
Tracking is implemented ... | computer science |
24,337 | Potts model, parametric maxflow and k-submodular functions | cs.CV | The problem of minimizing the Potts energy function frequently occurs in
computer vision applications. One way to tackle this NP-hard problem was
proposed by Kovtun [19,20]. It identifies a part of an optimal solution by
running $k$ maxflow computations, where $k$ is the number of labels. The number
of "labeled" pixels... | computer science |
24,338 | End-to-End Text Recognition with Hybrid HMM Maxout Models | cs.CV | The problem of detecting and recognizing text in natural scenes has proved to
be more challenging than its counterpart in documents, with most of the
previous work focusing on a single part of the problem. In this work, we
propose new solutions to the character and word recognition problems and then
show how to combine... | computer science |
24,339 | A State Of the Art Report on Research in Multiple RGB-D sensor Setups | cs.CV | That the Microsoft Kinect, an RGB-D sensor, transformed the gaming and end
consumer sector has been anticipated by the developers. That it also impacted
in rigorous computer vision research has probably been a surprise to the whole
community. Shortly before the commercial deployment of its successor, Kinect
One, the re... | computer science |
24,340 | The role of RGB-D benchmark datasets: an overview | cs.CV | The advent of the Microsoft Kinect three years ago stimulated not only the
computer vision community for new algorithms and setups to tackle well-known
problems in the community but also sparked the launch of several new benchmark
datasets to which future algorithms can be compared 019 to. This review of the
literature... | computer science |
24,341 | A Robust Variational Model for Positive Image Deconvolution | cs.CV | In this paper, an iterative method for robust deconvolution with positivity
constraints is discussed. It is based on the known variational interpretation
of the Richardson-Lucy iterative deconvolution as fixed-point iteration for the
minimisation of an information divergence functional under a multiplicative
perturbati... | computer science |
24,342 | Linear Algorithm for Digital Euclidean Connected Skeleton | cs.CV | The skeleton is an essential shape characteristic providing a compact
representation of the studied shape. Its computation on the image grid raises
many issues. Due to the effects of discretization, the required properties of
the skeleton - thinness, homotopy to the shape, reversibility, connectivity -
may become incom... | computer science |
24,343 | From Shading to Local Shape | cs.CV | We develop a framework for extracting a concise representation of the shape
information available from diffuse shading in a small image patch. This
produces a mid-level scene descriptor, comprised of local shape distributions
that are inferred separately at every image patch across multiple scales. The
framework is bas... | computer science |
24,344 | Bayesian Estimation of White Matter Atlas from High Angular Resolution
Diffusion Imaging | cs.CV | We present a Bayesian probabilistic model to estimate the brain white matter
atlas from high angular resolution diffusion imaging (HARDI) data. This model
incorporates a shape prior of the white matter anatomy and the likelihood of
individual observed HARDI datasets. We first assume that the atlas is generated
from a k... | computer science |
24,345 | PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland | cs.CV | Prostate cancer is the most abundant cancer in men, with over 200,000
expected new cases and around 28,000 deaths in 2012 in the US alone. In this
study, the segmentation results for the prostate central gland (PCG) in MR
scans are presented. The aim of this research study is to apply a graph-based
algorithm to automat... | computer science |
24,346 | An Improved K-means Clustering Based Approach to Detect a DNA Structure
in H&E Image of Mouse Tissue Reacted with CD4-Green Antigen | cs.CV | In this manuscript we present the technique to detect and analyze the DNA
rich structure in Haemotoxylin & Eosin (H&E) image of a tissue treated with
anti CD4 green antigen. The detection of DNA rich structure can be considered
as a detection of blue nuclei present through the biomedical signal/image
processing techniq... | computer science |
24,347 | Dense Scattering Layer Removal | cs.CV | We propose a new model, together with advanced optimization, to separate a
thick scattering media layer from a single natural image. It is able to handle
challenging underwater scenes and images taken in fog and sandstorm, both of
which are with significantly reduced visibility. Our method addresses the
critical issue ... | computer science |
24,348 | Misfire Detection in IC Engine using Kstar Algorithm | cs.CV | Misfire in an IC Engine continues to be a problem leading to reduced fuel
efficiency, increased power loss and emissions containing heavy concentration
of hydrocarbons. Misfiring creates a unique vibration pattern attributed to a
particular cylinder. Useful features can be extracted from these patterns and
can be analy... | computer science |
24,349 | Optimal Sensor Placement and Enhanced Sparsity for Classification | cs.CV | The goal of compressive sensing is efficient reconstruction of data from few
measurements, sometimes leading to a categorical decision. If only
classification is required, reconstruction can be circumvented and the
measurements needed are orders-of-magnitude sparser still. We define enhanced
sparsity as the reduction i... | computer science |
24,350 | Fine-grained Categorization -- Short Summary of our Entry for the
ImageNet Challenge 2012 | cs.CV | In this paper, we tackle the problem of visual categorization of dog breeds,
which is a surprisingly challenging task due to simultaneously present low
interclass distances and high intra-class variances. Our approach combines
several techniques well known in our community but often not utilized for
fine-grained recogn... | computer science |
24,351 | Principal motion components for gesture recognition using a
single-example | cs.CV | This paper introduces principal motion components (PMC), a new method for
one-shot gesture recognition. In the considered scenario a single
training-video is available for each gesture to be recognized, which limits the
application of traditional techniques (e.g., HMMs). In PMC, a 2D map of motion
energy is obtained pe... | computer science |
24,352 | Dictionary Learning and Sparse Coding on Grassmann Manifolds: An
Extrinsic Solution | cs.CV | Recent advances in computer vision and machine learning suggest that a wide
range of problems can be addressed more appropriately by considering
non-Euclidean geometry. In this paper we explore sparse dictionary learning
over the space of linear subspaces, which form Riemannian structures known as
Grassmann manifolds. ... | computer science |
24,353 | Advances in Hyperspectral Image Classification: Earth monitoring with
statistical learning methods | cs.CV | Hyperspectral images show similar statistical properties to natural grayscale
or color photographic images. However, the classification of hyperspectral
images is more challenging because of the very high dimensionality of the
pixels and the small number of labeled examples typically available for
learning. These pecul... | computer science |
24,354 | Ship Detection and Segmentation using Image Correlation | cs.CV | There have been intensive research interests in ship detection and
segmentation due to high demands on a wide range of civil applications in the
last two decades. However, existing approaches, which are mainly based on
statistical properties of images, fail to detect smaller ships and boats.
Specifically, known techniq... | computer science |
24,355 | Devnagari Handwritten Numeral Recognition using Geometric Features and
Statistical Combination Classifier | cs.CV | This paper presents a Devnagari Numerical recognition method based on
statistical discriminant functions. 17 geometric features based on pixel
connectivity, lines, line directions, holes, image area, perimeter,
eccentricity, solidity, orientation etc. are used for representing the
numerals. Five discriminant functions ... | computer science |
24,356 | Contextual Hypergraph Modelling for Salient Object Detection | cs.CV | Salient object detection aims to locate objects that capture human attention
within images. Previous approaches often pose this as a problem of image
contrast analysis. In this work, we model an image as a hypergraph that
utilizes a set of hyperedges to capture the contextual properties of image
pixels or regions. As a... | computer science |
24,357 | Fusion of Hyperspectral and Panchromatic Images using Spectral Uumixing
Results | cs.CV | Hyperspectral imaging, due to providing high spectral resolution images, is
one of the most important tools in the remote sensing field. Because of
technological restrictions hyperspectral sensors has a limited spatial
resolution. On the other hand panchromatic image has a better spatial
resolution. Combining this info... | computer science |
24,358 | Improvement of Automatic Hemorrhages Detection Methods Using Shapes
Recognition | cs.CV | Diabetic Retinopathy is a medical condition where the retina is damaged
because fluid leaks from blood vessels into the retina. The presence of
hemorrhages in the retina is the earliest symptom of diabetic retinopathy. The
number and shape of hemorrhages is used to indicate the severity of the
disease. Early automated ... | computer science |
24,359 | Word Spotting in Cursive Handwritten Documents using Modified Character
Shape Codes | cs.CV | There is a large collection of Handwritten English paper documents of
Historical and Scientific importance. But paper documents are not recognized
directly by computer. Hence the closest way of indexing these documents is by
storing their document digital image. Hence a large database of document images
can replace the... | computer science |
24,360 | Skin Segmentation based Elastic Bunch Graph Matching for efficient
multiple Face Recognition | cs.CV | This paper is aimed at developing and combining different algorithms for face
detection and face recognition to generate an efficient mechanism that can
detect and recognize the facial regions of input image. For the detection of
face from complex region, skin segmentation isolates the face-like regions in a
complex im... | computer science |
24,361 | A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived
from Diffusion Tensor Imaging | cs.CV | Diffusion Tensor Imaging (DTI) is a non-invasive imaging technique that
allows estimation of the location of white matter tracts in-vivo, based on the
measurement of water diffusion properties. For each voxel, a second-order
tensor can be calculated by using diffusion-weighted sequences (DWI) that are
sensitive to the ... | computer science |
24,362 | Can Facial Uniqueness be Inferred from Impostor Scores? | cs.CV | In Biometrics, facial uniqueness is commonly inferred from impostor
similarity scores. In this paper, we show that such uniqueness measures are
highly unstable in the presence of image quality variations like pose, noise
and blur. We also experimentally demonstrate the instability of a recently
introduced impostor-base... | computer science |
24,363 | Pseudo vs. True Defect Classification in Printed Circuits Boards using
Wavelet Features | cs.CV | In recent years, Printed Circuit Boards (PCB) have become the backbone of a
large number of consumer electronic devices leading to a surge in their
production. This has made it imperative to employ automatic inspection systems
to identify manufacturing defects in PCB before they are installed in the
respective systems.... | computer science |
24,364 | Fast 3D Salient Region Detection in Medical Images using GPUs | cs.CV | Automated detection of visually salient regions is an active area of research
in computer vision. Salient regions can serve as inputs for object detectors as
well as inputs for region based registration algorithms. In this paper we
consider the problem of speeding up computationally intensive bottom-up salient
region d... | computer science |
24,365 | Gender Classification Using Gradient Direction Pattern | cs.CV | A novel methodology for gender classification is presented in this paper. It
extracts feature from local region of a face using gray color intensity
difference. The facial area is divided into sub-regions and GDP histogram
extracted from those regions are concatenated into a single vector to represent
the face. The cla... | computer science |
24,366 | Efficient Information Theoretic Clustering on Discrete Lattices | cs.CV | We consider the problem of clustering data that reside on discrete, low
dimensional lattices. Canonical examples for this setting are found in image
segmentation and key point extraction. Our solution is based on a recent
approach to information theoretic clustering where clusters result from an
iterative procedure tha... | computer science |
24,367 | Object Recognition System Design in Computer Vision: a Universal
Approach | cs.CV | The first contribution of this paper is architecture of a multipurpose
system, which delegates a range of object detection tasks to a classifier,
applied in special grid positions of the tested image. The second contribution
is Gray Level-Radius Co-occurrence Matrix, which describes local image texture
and topology and... | computer science |
24,368 | Neural perceptual model to global-local vision for recognition of the
logical structure of administrative documents | cs.CV | This paper gives the definition of Transparent Neural Network "TNN" for the
simulation of the globallocal vision and its application to the segmentation of
administrative document image. We have developed and have adapted a recognition
method which models the contextual effects reported from studies in
experimental psy... | computer science |
24,369 | Impulse Noise Removal In Speech Using Wavelets | cs.CV | A new method for removing impulse noise from speech in the wavelet transform
domain is proposed. The method utilizes the multiresolution property of the
wavelet transform, which provides finer time resolution at the higher
frequencies than the short-time Fourier transform (STFT), to effectively
identify and remove impu... | computer science |
24,370 | An iterative algorithm for computed tomography image reconstruction from
limited-angle projections | cs.CV | In application of tomography imaging, limited-angle problem is a quite
practical and important issue. In this paper, an iterative
reprojection-reconstruction (IRR) algorithm using a modified Papoulis-Gerchberg
(PG) iterative scheme is developed for reconstruction from limited-angle
projections which contain noise. The ... | computer science |
24,371 | Iterative Bilateral Filtering of Polarimetric SAR Data | cs.CV | In this paper, we introduce an iterative speckle filtering method for
polarimetric SAR (PolSAR) images based on the bilateral filter. To locally
adapt to the spatial structure of images, this filter relies on pixel
similarities in both spatial and radiometric domains. To deal with polarimetric
data, we study the use of... | computer science |
24,372 | Quality Assessment of Pixel-Level ImageFusion Using Fuzzy Logic | cs.CV | Image fusion is to reduce uncertainty and minimize redundancy in the output
while maximizing relevant information from two or more images of a scene into a
single composite image that is more informative and is more suitable for visual
perception or processing tasks like medical imaging, remote sensing, concealed
weapo... | computer science |
24,373 | Face Recognition via Globality-Locality Preserving Projections | cs.CV | We present an improved Locality Preserving Projections (LPP) method, named
Gloablity-Locality Preserving Projections (GLPP), to preserve both the global
and local geometric structures of data. In our approach, an additional
constraint of the geometry of classes is imposed to the objective function of
conventional LPP f... | computer science |
24,374 | Biometric Signature Processing & Recognition Using Radial Basis Function
Network | cs.CV | Automatic recognition of signature is a challenging problem which has
received much attention during recent years due to its many applications in
different fields. Signature has been used for long time for verification and
authentication purpose. Earlier methods were manual but nowadays they are
getting digitized. This... | computer science |
24,375 | Efficient Regularization of Squared Curvature | cs.CV | Curvature has received increased attention as an important alternative to
length based regularization in computer vision. In contrast to length, it
preserves elongated structures and fine details. Existing approaches are either
inefficient, or have low angular resolution and yield results with strong block
artifacts. W... | computer science |
24,376 | Submodularization for Quadratic Pseudo-Boolean Optimization | cs.CV | Many computer vision problems require optimization of binary non-submodular
energies. We propose a general optimization framework based on local submodular
approximations (LSA). Unlike standard LP relaxation methods that linearize the
whole energy globally, our approach iteratively approximates the energies
locally. On... | computer science |
24,377 | Fast Tracking via Spatio-Temporal Context Learning | cs.CV | In this paper, we present a simple yet fast and robust algorithm which
exploits the spatio-temporal context for visual tracking. Our approach
formulates the spatio-temporal relationships between the object of interest and
its local context based on a Bayesian framework, which models the statistical
correlation between ... | computer science |
24,378 | A new stopping criterion for the mean shift iterative algorithm | cs.CV | The mean shift iterative algorithm was proposed in 2006, for using the
entropy as a stopping criterion. From then on, a theoretical base has been
developed and a group of applications has been carried out using this
algorithm. This paper proposes a new stopping criterion for the mean shift
iterative algorithm, where st... | computer science |
24,379 | An Experimental Comparison of Trust Region and Level Sets | cs.CV | High-order (non-linear) functionals have become very popular in segmentation,
stereo and other computer vision problems. Level sets is a well established
general gradient descent framework, which is directly applicable to
optimization of such functionals and widely used in practice. Recently, another
general optimizati... | computer science |
24,380 | Neighborhood filters and the decreasing rearrangement | cs.CV | Nonlocal filters are simple and powerful techniques for image denoising. In
this paper, we give new insights into the analysis of one kind of them, the
Neighborhood filter, by using a classical although not very common
transformation: the decreasing rearrangement of a function (the image).
Independently of the dimensio... | computer science |
24,381 | Notes on Elementary Spectral Graph Theory. Applications to Graph
Clustering Using Normalized Cuts | cs.CV | These are notes on the method of normalized graph cuts and its applications
to graph clustering. I provide a fairly thorough treatment of this deeply
original method due to Shi and Malik, including complete proofs. I include the
necessary background on graphs and graph Laplacians. I then explain in detail
how the eigen... | computer science |
24,382 | Rich feature hierarchies for accurate object detection and semantic
segmentation | cs.CV | Object detection performance, as measured on the canonical PASCAL VOC
dataset, has plateaued in the last few years. The best-performing methods are
complex ensemble systems that typically combine multiple low-level image
features with high-level context. In this paper, we propose a simple and
scalable detection algorit... | computer science |
24,383 | Determining Leishmania Infection Levels by Automatic Analysis of
Microscopy Images | cs.CV | Analysis of microscopy images is one important tool in many fields of
biomedical research, as it allows the quantification of a multitude of
parameters at the cellular level. However, manual counting of these images is
both tiring and unreliable and ultimately very time-consuming for biomedical
researchers. Not only do... | computer science |
24,384 | Second-order Shape Optimization for Geometric Inverse Problems in Vision | cs.CV | We develop a method for optimization in shape spaces, i.e., sets of surfaces
modulo re-parametrization. Unlike previously proposed gradient flows, we
achieve superlinear convergence rates through a subtle approximation of the
shape Hessian, which is generally hard to compute and suffers from a series of
degeneracies. O... | computer science |
24,385 | Volumetric Reconstruction Applied to Perceptual Studies of Size and
Weight | cs.CV | We explore the application of volumetric reconstruction from structured-light
sensors in cognitive neuroscience, specifically in the quantification of the
size-weight illusion, whereby humans tend to systematically perceive smaller
objects as heavier. We investigate the performance of two commercial
structured-light sc... | computer science |
24,386 | Visualizing and Understanding Convolutional Networks | cs.CV | Large Convolutional Network models have recently demonstrated impressive
classification performance on the ImageNet benchmark. However there is no clear
understanding of why they perform so well, or how they might be improved. In
this paper we address both issues. We introduce a novel visualization technique
that gives... | computer science |
24,387 | An Efficient Method for Recognizing the Low Quality Fingerprint
Verification by Means of Cross Correlation | cs.CV | In this paper, we propose an efficient method to provide personal
identification using fingerprint to get better accuracy even in noisy
condition. The fingerprint matching based on the number of corresponding
minutia pairings, has been in use for a long time, which is not very efficient
for recognizing the low quality ... | computer science |
24,388 | On a non-local spectrogram for denoising one-dimensional signals | cs.CV | In previous works, we investigated the use of local filters based on partial
differential equations (PDE) to denoise one-dimensional signals through the
image processing of time-frequency representations, such as the spectrogram. In
this image denoising algorithms, the particularity of the image was hardly
taken into a... | computer science |
24,389 | A Study of Actor and Action Semantic Retention in Video Supervoxel
Segmentation | cs.CV | Existing methods in the semantic computer vision community seem unable to
deal with the explosion and richness of modern, open-source and social video
content. Although sophisticated methods such as object detection or
bag-of-words models have been well studied, they typically operate on low level
features and ultimate... | computer science |
24,390 | The STONE Transform: Multi-Resolution Image Enhancement and Real-Time
Compressive Video | cs.CV | Compressed sensing enables the reconstruction of high-resolution signals from
under-sampled data. While compressive methods simplify data acquisition, they
require the solution of difficult recovery problems to make use of the
resulting measurements. This article presents a new sensing framework that
combines the advan... | computer science |
24,391 | Describing Textures in the Wild | cs.CV | Patterns and textures are defining characteristics of many natural objects: a
shirt can be striped, the wings of a butterfly can be veined, and the skin of
an animal can be scaly. Aiming at supporting this analytical dimension in image
understanding, we address the challenging problem of describing textures with
semant... | computer science |
24,392 | Recognizing Image Style | cs.CV | The style of an image plays a significant role in how it is viewed, but style
has received little attention in computer vision research. We describe an
approach to predicting style of images, and perform a thorough evaluation of
different image features for these tasks. We find that features learned in a
multi-layer ne... | computer science |
24,393 | Periodicity Extraction using Superposition of Distance Matching Function
and One-dimensional Haar Wavelet Transform | cs.CV | Periodicity of a texture is one of the important visual characteristics and
is often used as a measure for textural discrimination at the structural level.
Knowledge about periodicity of a texture is very essential in the field of
texture synthesis and texture compression and also in the design of frieze and
wall paper... | computer science |
24,394 | Blind Deconvolution with Non-local Sparsity Reweighting | cs.CV | Blind deconvolution has made significant progress in the past decade. Most
successful algorithms are classified either as Variational or Maximum
a-Posteriori ($MAP$). In spite of the superior theoretical justification of
variational techniques, carefully constructed $MAP$ algorithms have proven
equally effective in pra... | computer science |
24,395 | A Comparative Study of Histogram Equalization Based Image Enhancement
Techniques for Brightness Preservation and Contrast Enhancement | cs.CV | Histogram Equalization is a contrast enhancement technique in the image
processing which uses the histogram of image. However histogram equalization is
not the best method for contrast enhancement because the mean brightness of the
output image is significantly different from the input image. There are several
extensio... | computer science |
24,396 | Can a biologically-plausible hierarchy effectively replace face
detection, alignment, and recognition pipelines? | cs.CV | The standard approach to unconstrained face recognition in natural
photographs is via a detection, alignment, recognition pipeline. While that
approach has achieved impressive results, there are several reasons to be
dissatisfied with it, among them is its lack of biological plausibility. A
recent theory of invariant r... | computer science |
24,397 | Comparative Study Of Image Edge Detection Algorithms | cs.CV | Since edge detection is in the forefront of image processing for object
detection, it is crucial to have a good understanding of edge detection
algorithms. The reason for this is that edges form the outline of an object. An
edge is the boundary between an object and the background, and indicates the
boundary between ov... | computer science |
24,398 | Adaptive Learning of Region-based pLSA Model for Total Scene Annotation | cs.CV | In this paper, we present a region-based pLSA model to accomplish the task of
total scene annotation. To be more specific, we not only properly generate a
list of tags for each image, but also localizing each region with its
corresponding tag. We integrate advantages of different existing region-based
works: employ eff... | computer science |
24,399 | PANDA: Pose Aligned Networks for Deep Attribute Modeling | cs.CV | We propose a method for inferring human attributes (such as gender, hair
style, clothes style, expression, action) from images of people under large
variation of viewpoint, pose, appearance, articulation and occlusion.
Convolutional Neural Nets (CNN) have been shown to perform very well on large
scale object recognitio... | computer science |
24,400 | Dynamic Model of Facial Expression Recognition based on Eigen-face
Approach | cs.CV | Emotions are best way of communicating information; and sometimes it carry
more information than words. Recently, there has been a huge interest in
automatic recognition of human emotion because of its wide spread application
in security, surveillance, marketing, advertisement, and human-computer
interaction. To commun... | computer science |
24,401 | On the Design and Analysis of Multiple View Descriptors | cs.CV | We propose an extension of popular descriptors based on gradient orientation
histograms (HOG, computed in a single image) to multiple views. It hinges on
interpreting HOG as a conditional density in the space of sampled images, where
the effects of nuisance factors such as viewpoint and illumination are
marginalized. H... | computer science |
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