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24,902 | Bi-directional Shape Correspondences (BSC): A Novel Technique for 2-d
Shape Warping in Quadratic Time? | cs.CV | We propose Bidirectional Shape Correspondence (BSC) as a possible improvement
on the famous shape contexts (SC) framework. Our proposals derive from the
observation that the SC framework enforces a one-to-one correspondence between
sample points, and that this leads to two possible drawbacks. First, this
denies the fra... | computer science |
24,903 | Mixture of Parts Revisited: Expressive Part Interactions for Pose
Estimation | cs.CV | Part-based models with restrictive tree-structured interactions for the Human
Pose Estimation problem, leaves many part interactions unhandled. Two of the
most common and strong manifestations of such unhandled interactions are
self-occlusion among the parts and the confusion in the localization of the
non-adjacent sym... | computer science |
24,904 | A New Way to Factorize Linear Cameras | cs.CV | The implementation details of factorizing the 3x4 projection matrices of
linear cameras into their left matrix factors and the 4x4 homogeneous
central(also parallel for infinite center cases) projection factors are
presented in this work. Any full row rank 3x4 real matrix can be factorized
into such basic matrices whic... | computer science |
24,905 | Learning of Proto-object Representations via Fixations on Low Resolution | cs.CV | While previous researches in eye fixation prediction typically rely on
integrating low-level features (e.g. color, edge) to form a saliency map,
recently it has been found that the structural organization of these features
into a proto-object representation can play a more significant role. In this
work, we present a c... | computer science |
24,906 | Fusing Color and Texture Cues to Categorize the Fruit Diseases from
Images | cs.CV | The economic and production losses in agricultural industry worldwide are due
to the presence of diseases in the several kinds of fruits. In this paper, a
method for the classification of fruit diseases is proposed and experimentally
validated. The image processing based proposed approach is composed of the
following m... | computer science |
24,907 | AltecOnDB: A Large-Vocabulary Arabic Online Handwriting Recognition
Database | cs.CV | Arabic is a semitic language characterized by a complex and rich morphology.
The exceptional degree of ambiguity in the writing system, the rich morphology,
and the highly complex word formation process of roots and patterns all
contribute to making computational approaches to Arabic very challenging. As a
result, a pr... | computer science |
24,908 | A Fuzzy Based Model to Identify Printed Sinhala Characters (ICIAfS14) | cs.CV | Character recognition techniques for printed documents are widely used for
English language. However, the systems that are implemented to recognize Asian
languages struggle to increase the accuracy of recognition. Among other Asian
languages (such as Arabic, Tamil, Chinese), Sinhala characters are unique,
mainly becaus... | computer science |
24,909 | Locating Tables in Scanned Documents for Reconstructing and Republishing
(ICIAfS14) | cs.CV | Pool of knowledge available to the mankind depends on the source of learning
resources, which can vary from ancient printed documents to present electronic
material. The rapid conversion of material available in traditional libraries
to digital form needs a significant amount of work if we are to maintain the
format an... | computer science |
24,910 | Texture analysis using volume-radius fractal dimension | cs.CV | Texture plays an important role in computer vision. It is one of the most
important visual attributes used in image analysis, once it provides
information about pixel organization at different regions of the image. This
paper presents a novel approach for texture characterization, based on
complexity analysis. The prop... | computer science |
24,911 | Brachiaria species identification using imaging techniques based on
fractal descriptors | cs.CV | The use of a rapid and accurate method in diagnosis and classification of
species and/or cultivars of forage has practical relevance, scientific and
trade in various areas of study. Thus, leaf samples of fodder plant species
\textit{Brachiaria} were previously identified, collected and scanned to be
treated by means of... | computer science |
24,912 | Fractal descriptors based on the probability dimension: a texture
analysis and classification approach | cs.CV | In this work, we propose a novel technique for obtaining descriptors of
gray-level texture images. The descriptors are provided by applying a
multiscale transform to the fractal dimension of the image estimated through
the probability (Voss) method. The effectiveness of the descriptors is verified
in a classification t... | computer science |
24,913 | Joint Deep Learning for Car Detection | cs.CV | Traditional object recognition approaches apply feature extraction, part
deformation handling, occlusion handling and classification sequentially while
they are independent from each other. Ouyang and Wang proposed a model for
jointly learning of all of the mentioned processes using one deep neural
network. We utilized... | computer science |
24,914 | Gabor wavelets combined with volumetric fractal dimension applied to
texture analysis | cs.CV | Texture analysis and classification remain as one of the biggest challenges
for the field of computer vision and pattern recognition. On this matter, Gabor
wavelets has proven to be a useful technique to characterize distinctive
texture patterns. However, most of the approaches used to extract descriptors
of the Gabor ... | computer science |
24,915 | Sparkle Vision: Seeing the World through Random Specular Microfacets | cs.CV | In this paper, we study the problem of reproducing the world lighting from a
single image of an object covered with random specular microfacets on the
surface. We show that such reflectors can be interpreted as a randomized
mapping from the lighting to the image. Such specular objects have very
different optical proper... | computer science |
24,916 | Improved texture image classification through the use of a
corrosion-inspired cellular automaton | cs.CV | In this paper, the problem of classifying synthetic and natural texture
images is addressed. To tackle this problem, an innovative method is proposed
that combines concepts from corrosion modeling and cellular automata to
generate a texture descriptor. The core processes of metal (pitting) corrosion
are identified and ... | computer science |
24,917 | Detect2Rank : Combining Object Detectors Using Learning to Rank | cs.CV | Object detection is an important research area in the field of computer
vision. Many detection algorithms have been proposed. However, each object
detector relies on specific assumptions of the object appearance and imaging
conditions. As a consequence, no algorithm can be considered as universal. With
the large variet... | computer science |
24,918 | Texture analysis by multi-resolution fractal descriptors | cs.CV | This work proposes a texture descriptor based on fractal theory. The method
is based on the Bouligand-Minkowski descriptors. We decompose the original
image recursively into 4 equal parts. In each recursion step, we estimate the
average and the deviation of the Bouligand-Minkowski descriptors computed over
each part. T... | computer science |
24,919 | Functional correspondence by matrix completion | cs.CV | In this paper, we consider the problem of finding dense intrinsic
correspondence between manifolds using the recently introduced functional
framework. We pose the functional correspondence problem as matrix completion
with manifold geometric structure and inducing functional localization with the
$L_1$ norm. We discuss... | computer science |
24,920 | Metacarpal Bones Localization in X-ray Imagery Using Particle Filter
Segmentation | cs.CV | Statistical methods such as sequential Monte Carlo Methods were proposed for
detection, segmentation and tracking of objects in digital images. A similar
approach, called Shape Particle Filters was introduced for the segmentation of
vertebra, lungs and hearts [1]. In this contribution, a global shape and a
local appear... | computer science |
24,921 | Rigid and Non-rigid Shape Evolutions for Shape Alignment and Recovery in
Images | cs.CV | The same type of objects in different images may vary in their shapes because
of rigid and non-rigid shape deformations, occluding foreground as well as
cluttered background. The problem concerned in this work is the shape
extraction in such challenging situations. We approach the shape extraction
through shape alignme... | computer science |
24,922 | Accurate Localization in Dense Urban Area Using Google Street View Image | cs.CV | Accurate information about the location and orientation of a camera in mobile
devices is central to the utilization of location-based services (LBS). Most of
such mobile devices rely on GPS data but this data is subject to inaccuracy due
to imperfections in the quality of the signal provided by satellites. This
shortco... | computer science |
24,923 | Domain-Size Pooling in Local Descriptors: DSP-SIFT | cs.CV | We introduce a simple modification of local image descriptors, such as SIFT,
based on pooling gradient orientations across different domain sizes, in
addition to spatial locations. The resulting descriptor, which we call
DSP-SIFT, outperforms other methods in wide-baseline matching benchmarks,
including those based on ... | computer science |
24,924 | Deep Roto-Translation Scattering for Object Classification | cs.CV | Dictionary learning algorithms or supervised deep convolution networks have
considerably improved the efficiency of predefined feature representations such
as SIFT. We introduce a deep scattering convolution network, with predefined
wavelet filters over spatial and angular variables. This representation brings
an impor... | computer science |
24,925 | Face recognition using color local binary pattern from mutually
independent color channels | cs.CV | In this paper, a high performance face recognition system based on local
binary pattern (LBP) using the probability distribution functions (PDF) of
pixels in different mutually independent color channels which are robust to
frontal homogenous illumination and planer rotation is proposed. The
illumination of faces is en... | computer science |
24,926 | Understanding Trajectory Behavior: A Motion Pattern Approach | cs.CV | Mining the underlying patterns in gigantic and complex data is of great
importance to data analysts. In this paper, we propose a motion pattern
approach to mine frequent behaviors in trajectory data. Motion patterns,
defined by a set of highly similar flow vector groups in a spatial locality,
have been shown to be very... | computer science |
24,927 | Unsupervised Feature Learning for Dense Correspondences across Scenes | cs.CV | We propose a fast, accurate matching method for estimating dense pixel
correspondences across scenes. It is a challenging problem to estimate dense
pixel correspondences between images depicting different scenes or instances of
the same object category. While most such matching methods rely on hand-crafted
features suc... | computer science |
24,928 | Group $K$-Means | cs.CV | We study how to learn multiple dictionaries from a dataset, and approximate
any data point by the sum of the codewords each chosen from the corresponding
dictionary. Although theoretically low approximation errors can be achieved by
the global solution, an effective solution has not been well studied in
practice. To so... | computer science |
24,929 | Fast forward feature selection for the nonlinear classification of
hyperspectral images | cs.CV | A fast forward feature selection algorithm is presented in this paper. It is
based on a Gaussian mixture model (GMM) classifier. GMM are used for
classifying hyperspectral images. The algorithm selects iteratively spectral
features that maximizes an estimation of the classification rate. The
estimation is done using th... | computer science |
24,930 | Learning to Recognize Pedestrian Attribute | cs.CV | Learning to recognize pedestrian attributes at far distance is a challenging
problem in visual surveillance since face and body close-shots are hardly
available; instead, only far-view image frames of pedestrian are given. In this
study, we present an alternative approach that exploits the context of
neighboring pedest... | computer science |
24,931 | Adaptive Objectness for Object Tracking | cs.CV | Object tracking is a long standing problem in vision. While great efforts
have been spent to improve tracking performance, a simple yet reliable prior
knowledge is left unexploited: the target object in tracking must be an object
other than non-object. The recently proposed and popularized objectness measure
provides a... | computer science |
24,932 | Stem-Calyx Recognition of an Apple using Shape Descriptors | cs.CV | This paper presents a novel method to recognize stem - calyx of an apple
using shape descriptors. The main drawback of existing apple grading techniques
is that stem - calyx part of an apple is treated as defects, this leads to poor
grading of apples. In order to overcome this drawback, we proposed an approach
to recog... | computer science |
24,933 | A Novel Technique for Grading of Dates using Shape and Texture Features | cs.CV | This paper presents a novel method to grade the date fruits based on the
combination of shape and texture features. The method begins with reducing the
specular reflection and small noise using a bilateral filter. Threshold based
segmentation is performed for background removal and fruit part selection from
the given i... | computer science |
24,934 | A Study on Clustering for Clustering Based Image De-Noising | cs.CV | In this paper, the problem of de-noising of an image contaminated with
Additive White Gaussian Noise (AWGN) is studied. This subject is an open
problem in signal processing for more than 50 years. Local methods suggested in
recent years, have obtained better results than global methods. However by more
intelligent trai... | computer science |
24,935 | Object localization in ImageNet by looking out of the window | cs.CV | We propose a method for annotating the location of objects in ImageNet.
Traditionally, this is cast as an image window classification problem, where
each window is considered independently and scored based on its appearance
alone. Instead, we propose a method which scores each candidate window in the
context of all oth... | computer science |
24,936 | Analysing domain shift factors between videos and images for object
detection | cs.CV | Object detection is one of the most important challenges in computer vision.
Object detectors are usually trained on bounding-boxes from still images.
Recently, video has been used as an alternative source of data. Yet, for a
given test domain (image or video), the performance of the detector depends on
the domain it w... | computer science |
24,937 | Leader Follower Formation Control of Ground Vehicles Using Camshift
Based Guidance | cs.CV | Autonomous ground vehicles have been designed for the purpose of that relies
on ranging and bearing information received from forward looking camera on the
Formation control . A visual guidance control algorithm is designed where real
time image processing is used to provide feedback signals. The vision subsystem
and c... | computer science |
24,938 | Weighted Schatten $p$-Norm Minimization for Image Denoising with Local
and Nonlocal Regularization | cs.CV | This paper presents a patch-wise low-rank based image denoising method with
constrained variational model involving local and nonlocal regularization. On
one hand, recent patch-wise methods can be represented as a low-rank matrix
approximation problem whose convex relaxation usually depends on nuclear norm
minimization... | computer science |
24,939 | Implementation of Auto Monitoring and Short-Message-Service System via
GSM Modem | cs.CV | Auto-Monitoring and Short-Messaging-Service System is a real-time monitoring
system for any critical operational environments. It detects an undesired event
occurring in the environment, generates an alert with detailed message and
sends it to the user to prevent hazards. This system employs a Friendly ARM as
main cont... | computer science |
24,940 | Super-resolution MRI Using Finite Rate of Innovation Curves | cs.CV | We propose a two-stage algorithm for the super-resolution of MR images from
their low-frequency k-space samples. In the first stage we estimate a
resolution-independent mask whose zeros represent the edges of the image. This
builds off recent work extending the theory of sampling signals of finite rate
of innovation (F... | computer science |
24,941 | An Effective Image Feature Classiffication using an improved SOM | cs.CV | Image feature classification is a challenging problem in many computer vision
applications, specifically, in the fields of remote sensing, image analysis and
pattern recognition. In this paper, a novel Self Organizing Map, termed
improved SOM (iSOM), is proposed with the aim of effectively classifying
Mammographic imag... | computer science |
24,942 | Optimal Radiometric Calibration for Camera-Display Communication | cs.CV | We present a novel method for communicating between a camera and display by
embedding and recovering hidden and dynamic information within a displayed
image. A handheld camera pointed at the display can receive not only the
display image, but also the underlying message. These active scenes are
fundamentally different ... | computer science |
24,943 | Filter Design and Performance Evaluation for Fingerprint Image
Segmentation | cs.CV | Fingerprint recognition plays an important role in many commercial
applications and is used by millions of people every day, e.g. for unlocking
mobile phones. Fingerprint image segmentation is typically the first processing
step of most fingerprint algorithms and it divides an image into foreground,
the region of inter... | computer science |
24,944 | Efficient Rotation-Scaling-Translation Parameters Estimation Based on
Fractal Image Model | cs.CV | This paper deals with area-based subpixel image registration under
rotation-isometric scaling-translation transformation hypothesis. Our approach
is based on a parametrical modeling of geometrically transformed textural image
fragments and maximum likelihood estimation of transformation vector between
them. Due to the ... | computer science |
24,945 | Tri-Subject Kinship Verification: Understanding the Core of A Family | cs.CV | One major challenge in computer vision is to go beyond the modeling of
individual objects and to investigate the bi- (one-versus-one) or tri-
(one-versus-two) relationship among multiple visual entities, answering such
questions as whether a child in a photo belongs to given parents. The
child-parents relationship play... | computer science |
24,946 | EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical
Flow | cs.CV | We propose a novel approach for optical flow estimation , targeted at large
displacements with significant oc-clusions. It consists of two steps: i) dense
matching by edge-preserving interpolation from a sparse set of matches; ii)
variational energy minimization initialized with the dense matches. The
sparse-to-dense i... | computer science |
24,947 | Salient Object Detection: A Benchmark | cs.CV | We extensively compare, qualitatively and quantitatively, 40 state-of-the-art
models (28 salient object detection, 10 fixation prediction, 1 objectness, and
1 baseline) over 6 challenging datasets for the purpose of benchmarking salient
object detection and segmentation methods. From the results obtained so far,
our ev... | computer science |
24,948 | A Survey on Recent Advances of Computer Vision Algorithms for Egocentric
Video | cs.CV | Recent technological advances have made lightweight, head mounted cameras
both practical and affordable and products like Google Glass show first
approaches to introduce the idea of egocentric (first-person) video to the
mainstream. Interestingly, the computer vision community has only recently
started to explore this ... | computer science |
24,949 | Deep Image: Scaling up Image Recognition | cs.CV | We present a state-of-the-art image recognition system, Deep Image, developed
using end-to-end deep learning. The key components are a custom-built
supercomputer dedicated to deep learning, a highly optimized parallel algorithm
using new strategies for data partitioning and communication, larger deep
neural network mod... | computer science |
24,950 | Online Handwritten Devanagari Stroke Recognition Using Extended
Directional Features | cs.CV | This paper describes a new feature set, called the extended directional
features (EDF) for use in the recognition of online handwritten strokes. We use
EDF specifically to recognize strokes that form a basis for producing
Devanagari script, which is the most widely used Indian language script. It
should be noted that s... | computer science |
24,951 | An Adaptive Neuro-Fuzzy Inference System Modeling for Grid-Adaptive
Interpolation over Depth Images | cs.CV | A suitable interpolation method is essential to keep the noise level minimum
along with the time-delay. In recent years, many different interpolation
filters have been developed for instance H.264-6 tap filter, and AVS- 4 tap
filter. The present work uses Adaptive Neuro-Fuzzy Inference System (ANFIS)
technique to model... | computer science |
24,952 | Learning from Multiple Sources for Video Summarisation | cs.CV | Many visual surveillance tasks, e.g.video summarisation, is conventionally
accomplished through analysing imagerybased features. Relying solely on visual
cues for public surveillance video understanding is unreliable, since visual
observations obtained from public space CCTV video data are often not
sufficiently trustw... | computer science |
24,953 | Robust and Real Time Detection of Curvy Lanes (Curves) with Desired
Slopes for Driving Assistance and Autonomous Vehicles | cs.CV | One of the biggest reasons for road accidents is curvy lanes and blind turns.
Even one of the biggest hurdles for new autonomous vehicles is to detect curvy
lanes, multiple lanes and lanes with a lot of discontinuity and noise. This
paper presents very efficient and advanced algorithm for detecting curves
having desire... | computer science |
24,954 | Image enhancement in intensity projected multichannel MRI using
spatially adaptive directional anisotropic diffusion | cs.CV | Anisotropic Diffusion is widely used for noise reduction with simultaneous
preservation of vascular structures in maximum intensity projected (MIP)
angiograms. However, extension to minimum intensity projected (mIP) venograms
in Susceptibility Weighted Imaging (SWI) poses difficulties due to spatially
varying baseline.... | computer science |
24,955 | On the Distribution of Salient Objects in Web Images and its Influence
on Salient Object Detection | cs.CV | It has become apparent that a Gaussian center bias can serve as an important
prior for visual saliency detection, which has been demonstrated for predicting
human eye fixations and salient object detection. Tseng et al. have shown that
the photographer's tendency to place interesting objects in the center is a
likely c... | computer science |
24,956 | LATCH: Learned Arrangements of Three Patch Codes | cs.CV | We present a novel means of describing local image appearances using binary
strings. Binary descriptors have drawn increasing interest in recent years due
to their speed and low memory footprint. A known shortcoming of these
representations is their inferior performance compared to larger, histogram
based descriptors s... | computer science |
24,957 | Screen Content Image Segmentation Using Least Absolute Deviation Fitting | cs.CV | We propose an algorithm for separating the foreground (mainly text and line
graphics) from the smoothly varying background in screen content images. The
proposed method is designed based on the assumption that the background part of
the image is smoothly varying and can be represented by a linear combination of
a few s... | computer science |
24,958 | Computer-assisted polyp matching between optical colonoscopy and CT
colonography: a phantom study | cs.CV | Potentially precancerous polyps detected with CT colonography (CTC) need to
be removed subsequently, using an optical colonoscope (OC). Due to large
colonic deformations induced by the colonoscope, even very experienced
colonoscopists find it difficult to pinpoint the exact location of the
colonoscope tip in relation t... | computer science |
24,959 | A new ADMM algorithm for the Euclidean median and its application to
robust patch regression | cs.CV | The Euclidean Median (EM) of a set of points $\Omega$ in an Euclidean space
is the point x minimizing the (weighted) sum of the Euclidean distances of x to
the points in $\Omega$. While there exits no closed-form expression for the EM,
it can nevertheless be computed using iterative methods such as the Wieszfeld
algori... | computer science |
24,960 | Mind the Gap: Subspace based Hierarchical Domain Adaptation | cs.CV | Domain adaptation techniques aim at adapting a classifier learnt on a source
domain to work on the target domain. Exploiting the subspaces spanned by
features of the source and target domains respectively is one approach that has
been investigated towards solving this problem. These techniques normally
assume the exist... | computer science |
24,961 | A Fast Fractal Image Compression Algorithm Using Predefined Values for
Contrast Scaling | cs.CV | In this paper a new fractal image compression algorithm is proposed in which
the time of encoding process is considerably reduced. The algorithm exploits a
domain pool reduction approach, along with using innovative predefined values
for contrast scaling factor, S, instead of scanning the parameter space [0,1].
Within ... | computer science |
24,962 | Meaningful Objects Segmentation from SAR Images via A Multi-Scale
Non-Local Active Contour Model | cs.CV | The segmentation of synthetic aperture radar (SAR) images is a longstanding
yet challenging task, not only because of the presence of speckle, but also due
to the variations of surface backscattering properties in the images.
Tremendous investigations have been made to eliminate the speckle effects for
the segmentation... | computer science |
24,963 | Correlation Adaptive Subspace Segmentation by Trace Lasso | cs.CV | This paper studies the subspace segmentation problem. Given a set of data
points drawn from a union of subspaces, the goal is to partition them into
their underlying subspaces they were drawn from. The spectral clustering method
is used as the framework. It requires to find an affinity matrix which is close
to block di... | computer science |
24,964 | Correntropy Induced L2 Graph for Robust Subspace Clustering | cs.CV | In this paper, we study the robust subspace clustering problem, which aims to
cluster the given possibly noisy data points into their underlying subspaces. A
large pool of previous subspace clustering methods focus on the graph
construction by different regularization of the representation coefficient. We
instead focus... | computer science |
24,965 | Image classification by visual bag-of-words refinement and reduction | cs.CV | This paper presents a new framework for visual bag-of-words (BOW) refinement
and reduction to overcome the drawbacks associated with the visual BOW model
which has been widely used for image classification. Although very influential
in the literature, the traditional visual BOW model has two distinct drawbacks.
Firstly... | computer science |
24,966 | Reconstruction-free action inference from compressive imagers | cs.CV | Persistent surveillance from camera networks, such as at parking lots, UAVs,
etc., often results in large amounts of video data, resulting in significant
challenges for inference in terms of storage, communication and computation.
Compressive cameras have emerged as a potential solution to deal with the data
deluge iss... | computer science |
24,967 | Instance Significance Guided Multiple Instance Boosting for Robust
Visual Tracking | cs.CV | Multiple Instance Learning (MIL) recently provides an appealing way to
alleviate the drifting problem in visual tracking. Following the
tracking-by-detection framework, an online MILBoost approach is developed that
sequentially chooses weak classifiers by maximizing the bag likelihood. In this
paper, we extend this ide... | computer science |
24,968 | Robust Visual Tracking via Convolutional Networks | cs.CV | Deep networks have been successfully applied to visual tracking by learning a
generic representation offline from numerous training images. However the
offline training is time-consuming and the learned generic representation may
be less discriminative for tracking specific objects. In this paper we present
that, even ... | computer science |
24,969 | Coupled Depth Learning | cs.CV | In this paper we propose a method for estimating depth from a single image
using a coarse to fine approach. We argue that modeling the fine depth details
is easier after a coarse depth map has been computed. We express a global
(coarse) depth map of an image as a linear combination of a depth basis learned
from trainin... | computer science |
24,970 | Deep Convolutional Neural Networks for Action Recognition Using Depth
Map Sequences | cs.CV | Recently, deep learning approach has achieved promising results in various
fields of computer vision. In this paper, a new framework called Hierarchical
Depth Motion Maps (HDMM) + 3 Channel Deep Convolutional Neural Networks
(3ConvNets) is proposed for human action recognition using depth map sequences.
Firstly, we rot... | computer science |
24,971 | Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not? | cs.CV | Face recognition performance improves rapidly with the recent deep learning
technique developing and underlying large training dataset accumulating. In
this paper, we report our observations on how big data impacts the recognition
performance. According to these observations, we build our Megvii Face
Recognition System... | computer science |
24,972 | Tracing the boundaries of materials in transparent vessels using
computer vision | cs.CV | Visual recognition of material boundaries in transparent vessels is valuable
for numerous applications. Such recognition is essential for estimation of
fill-level, volume and phase-boundaries as well as for tracking of such
chemical processes as precipitation, crystallization, condensation, evaporation
and phase-separa... | computer science |
24,973 | Distributed Data Association in Smart Camera Networks via Dual
Decomposition | cs.CV | One of the fundamental requirements for visual surveillance using smart
camera networks is the correct association of each persons observations
generated on different cameras. Recently, distributed data association that
involves only local information processing on each camera node and mutual
information exchanging bet... | computer science |
24,974 | Constructing Binary Descriptors with a Stochastic Hill Climbing Search | cs.CV | Binary descriptors of image patches provide processing speed advantages and
require less storage than methods that encode the patch appearance with a
vector of real numbers. We provide evidence that, despite its simplicity, a
stochastic hill climbing bit selection procedure for descriptor construction
defeats recently ... | computer science |
24,975 | A Light Transport Model for Mitigating Multipath Interference in TOF
Sensors | cs.CV | Continuous-wave Time-of-flight (TOF) range imaging has become a commercially
viable technology with many applications in computer vision and graphics.
However, the depth images obtained from TOF cameras contain scene dependent
errors due to multipath interference (MPI). Specifically, MPI occurs when
multiple optical re... | computer science |
24,976 | Mirror, mirror on the wall, tell me, is the error small? | cs.CV | Do object part localization methods produce bilaterally symmetric results on
mirror images? Surprisingly not, even though state of the art methods augment
the training set with mirrored images. In this paper we take a closer look into
this issue. We first introduce the concept of mirrorability as the ability of a
model... | computer science |
24,977 | A Graph Theoretic Approach for Object Shape Representation in
Compositional Hierarchies Using a Hybrid Generative-Descriptive Model | cs.CV | A graph theoretic approach is proposed for object shape representation in a
hierarchical compositional architecture called Compositional Hierarchy of Parts
(CHOP). In the proposed approach, vocabulary learning is performed using a
hybrid generative-descriptive model. First, statistical relationships between
parts are l... | computer science |
24,978 | Enhanced Mixtures of Part Model for Human Pose Estimation | cs.CV | Mixture of parts model has been successfully applied to 2D human pose
estimation problem either as explicitly trained body part model or as latent
variables for the whole human body model. Mixture of parts model usually
utilize tree structure for representing relations between body parts. Tree
structures facilitate tra... | computer science |
24,979 | Point Context: An Effective Shape Descriptor for RST-invariant
Trajectory Recognition | cs.CV | Motion trajectory recognition is important for characterizing the moving
property of an object. The speed and accuracy of trajectory recognition rely on
a compact and discriminative feature representation, and the situations of
varying rotation, scaling and translation has to be specially considered. In
this paper we p... | computer science |
24,980 | Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach | cs.CV | The paper concentrates on improvement of segmentation accuracy by addressing
some of the key challenges of handwritten Devanagari word image segmentation
technique. In the present work, we have developed a new feature based approach
for identification of Matra pixels from a word image, design of a non-linear
fuzzy memb... | computer science |
24,981 | Design of a novel convex hull based feature set for recognition of
isolated handwritten Roman numerals | cs.CV | In this paper, convex hull based features are used for recognition of
isolated Roman numerals using a Multi Layer Perceptron (MLP) based classifier.
Experiments of convex hull based features for handwritten character recognition
are few in numbers. Convex hull of a pattern and the centroid of the convex
hull both are a... | computer science |
24,982 | A GA Based approach for selection of local features for recognition of
handwritten Bangla numerals | cs.CV | Soft computing approaches are mainly designed to address the real world
ill-defined, imprecisely formulated problems, combining different kind of novel
models of computation, such as neural networks, genetic algorithms (GAs.
Handwritten digit recognition is a typical example of one such problem. In the
current work we ... | computer science |
24,983 | An Improved Feature Descriptor for Recognition of Handwritten Bangla
Alphabet | cs.CV | Appropriate feature set for representation of pattern classes is one of the
most important aspects of handwritten character recognition. The effectiveness
of features depends on the discriminating power of the features chosen to
represent patterns of different classes. However, discriminatory features are
not easily me... | computer science |
24,984 | Globally Optimal Cell Tracking using Integer Programming | cs.CV | We propose a novel approach to automatically tracking cell populations in
time-lapse images. To account for cell occlusions and overlaps, we introduce a
robust method that generates an over-complete set of competing detection
hypotheses. We then perform detection and tracking simultaneously on these
hypotheses by solvi... | computer science |
24,985 | Unsupervised image segmentation by Global and local Criteria
Optimization Based on Bayesian Networks | cs.CV | Today Bayesian networks are more used in many areas of decision support and
image processing. In this way, our proposed approach uses Bayesian Network to
modelize the segmented image quality. This quality is calculated on a set of
attributes that represent local evaluation measures. The idea is to have these
local leve... | computer science |
24,986 | Active Mean Fields for Probabilistic Image Segmentation: Connections
with Chan-Vese and Rudin-Osher-Fatemi Models | cs.CV | Segmentation is a fundamental task for extracting semantically meaningful
regions from an image. The goal of segmentation algorithms is to accurately
assign object labels to each image location. However, image-noise, shortcomings
of algorithms, and image ambiguities cause uncertainty in label assignment.
Estimating the... | computer science |
24,987 | Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues | cs.CV | We explore the task of recognizing peoples' identities in photo albums in an
unconstrained setting. To facilitate this, we introduce the new People In Photo
Albums (PIPA) dataset, consisting of over 60000 instances of 2000 individuals
collected from public Flickr photo albums. With only about half of the person
images ... | computer science |
24,988 | Filtered Channel Features for Pedestrian Detection | cs.CV | This paper starts from the observation that multiple top performing
pedestrian detectors can be modelled by using an intermediate layer filtering
low-level features in combination with a boosted decision forest. Based on this
observation we propose a unifying framework and experimentally explore
different filter famili... | computer science |
24,989 | Taking a Deeper Look at Pedestrians | cs.CV | In this paper we study the use of convolutional neural networks (convnets)
for the task of pedestrian detection. Despite their recent diverse successes,
convnets historically underperform compared to other pedestrian detectors. We
deliberately omit explicitly modelling the problem into the network (e.g. parts
or occlus... | computer science |
24,990 | Unsupervised Segmentation of Multispectral Images with Cellular Automata | cs.CV | Multispectral images acquired by satellites are used to study phenomena on
the Earth's surface. Unsupervised classification techniques analyze
multispectral image content without considering prior knowledge of the observed
terrain; this is done using techniques which group pixels that have similar
statistics of digital... | computer science |
24,991 | Advances in Human Action Recognition: A Survey | cs.CV | Human action recognition has been an important topic in computer vision due
to its many applications such as video surveillance, human machine interaction
and video retrieval. One core problem behind these applications is
automatically recognizing low-level actions and high-level activities of
interest. The former is u... | computer science |
24,992 | Automatic Objects Removal for Scene Completion | cs.CV | With the explosive growth of web-based cameras and mobile devices, billions
of photographs are uploaded to the internet. We can trivially collect a huge
number of photo streams for various goals, such as 3D scene reconstruction and
other big data applications. However, this is not an easy task due to the fact
the retri... | computer science |
24,993 | Accurate automatic segmentation of retina layers with emphasis on first
layer | cs.CV | Quantification of intra-retinal boundaries in optical coherence tomography
(OCT) is a crucial task for studying and diagnosing neurological and ocular
diseases. Since manual segmentation of layers is usually a time consuming task
and relay on user, a lot of attempts done to do it automatically and without
interference ... | computer science |
24,994 | An Occlusion Reasoning Scheme for Monocular Pedestrian Tracking in
Dynamic Scenes | cs.CV | This paper looks into the problem of pedestrian tracking using a monocular,
potentially moving, uncalibrated camera. The pedestrians are located in each
frame using a standard human detector, which are then tracked in subsequent
frames. This is a challenging problem as one has to deal with complex
situations like chang... | computer science |
24,995 | Unsupervised Object Discovery and Localization in the Wild: Part-based
Matching with Bottom-up Region Proposals | cs.CV | This paper addresses unsupervised discovery and localization of dominant
objects from a noisy image collection with multiple object classes. The setting
of this problem is fully unsupervised, without even image-level annotations or
any assumption of a single dominant class. This is far more general than
typical colocal... | computer science |
24,996 | Exploring Human Vision Driven Features for Pedestrian Detection | cs.CV | Motivated by the center-surround mechanism in the human visual attention
system, we propose to use average contrast maps for the challenge of pedestrian
detection in street scenes due to the observation that pedestrians indeed
exhibit discriminative contrast texture. Our main contributions are first to
design a local, ... | computer science |
24,997 | 3D Human Activity Recognition with Reconfigurable Convolutional Neural
Networks | cs.CV | Human activity understanding with 3D/depth sensors has received increasing
attention in multimedia processing and interactions. This work targets on
developing a novel deep model for automatic activity recognition from RGB-D
videos. We represent each human activity as an ensemble of cubic-like video
segments, and learn... | computer science |
24,998 | Geodesic convolutional neural networks on Riemannian manifolds | cs.CV | Feature descriptors play a crucial role in a wide range of geometry analysis
and processing applications, including shape correspondence, retrieval, and
segmentation. In this paper, we introduce Geodesic Convolutional Neural
Networks (GCNN), a generalization of the convolutional networks (CNN) paradigm
to non-Euclidean... | computer science |
24,999 | A General Preprocessing Method for Improved Performance of Epipolar
Geometry Estimation Algorithms | cs.CV | In this paper a deterministic preprocessing algorithm is presented, whose
output can be given as input to most state-of-the-art epipolar geometry
estimation algorithms, improving their results considerably. They are now able
to succeed on hard cases for which they failed before. The algorithm consists
of three steps, w... | computer science |
25,000 | Parametric Image Segmentation of Humans with Structural Shape Priors | cs.CV | The figure-ground segmentation of humans in images captured in natural
environments is an outstanding open problem due to the presence of complex
backgrounds, articulation, varying body proportions, partial views and
viewpoint changes. In this work we propose class-specific segmentation models
that leverage parametric ... | computer science |
25,001 | A Cheap System for Vehicle Speed Detection | cs.CV | The reliable detection of speed of moving vehicles is considered key to
traffic law enforcement in most countries, and is seen by many as an important
tool to reduce the number of traffic accidents and fatalities. Many automatic
systems and different methods are employed in different countries, but as a
rule they tend ... | computer science |
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