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38,610 | Fixed-Rank Representation for Unsupervised Visual Learning | cs.CV | Subspace clustering and feature extraction are two of the most commonly used
unsupervised learning techniques in computer vision and pattern recognition.
State-of-the-art techniques for subspace clustering make use of recent advances
in sparsity and rank minimization. However, existing techniques are
computationally ex... | computer science |
38,611 | On-Board Visual Tracking with Unmanned Aircraft System (UAS) | cs.CV | This paper presents the development of a real time tracking algorithm that
runs on a 1.2 GHz PC/104 computer on-board a small UAV. The algorithm uses zero
mean normalized cross correlation to detect and locate an object in the image.
A kalman filter is used to make the tracking algorithm computationally
efficient. Obje... | computer science |
38,612 | Hybrid Poisson and multi-Bernoulli filters | cs.SY | The probability hypothesis density (PHD) and multi-target multi-Bernoulli
(MeMBer) filters are two leading algorithms that have emerged from random
finite sets (RFS). In this paper we study a method which combines these two
approaches. Our work is motivated by a sister paper, which proves that the full
Bayes RFS filter... | computer science |
38,613 | Marginal multi-Bernoulli filters: RFS derivation of MHT, JIPDA and
association-based MeMBer | cs.SY | Recent developments in random finite sets (RFSs) have yielded a variety of
tracking methods that avoid data association. This paper derives a form of the
full Bayes RFS filter and observes that data association is implicitly present,
in a data structure similar to MHT. Subsequently, algorithms are obtained by
approxima... | computer science |
38,614 | Scilab and SIP for Image Processing | cs.MS | This paper is an overview of Image Processing and Analysis using Scilab, a
free prototyping environment for numerical calculations similar to Matlab. We
demonstrate the capabilities of SIP -- the Scilab Image Processing Toolbox --
which extends Scilab with many functions to read and write images in over 100
major file ... | computer science |
38,615 | Reconstruction of hidden 3D shapes using diffuse reflections | cs.CV | We analyze multi-bounce propagation of light in an unknown hidden volume and
demonstrate that the reflected light contains sufficient information to recover
the 3D structure of the hidden scene. We formulate the forward and inverse
theory of secondary and tertiary scattering reflection using ideas from energy
front pro... | computer science |
38,616 | Real-time Image-based 6-DOF Localization in Large-Scale Environments | cs.CV | We present a real-time approach for image-based localization within large
scenes that have been reconstructed offline using structure from motion (Sfm).
From monocular video, our method continuously computes a precise 6-DOF camera
pose, by efficiently tracking natural features and matching them to 3D points
in the Sfm ... | computer science |
38,617 | Acceleration of the shiftable O(1) algorithm for bilateral filtering and
non-local means | cs.CV | A direct implementation of the bilateral filter [1] requires O(\sigma_s^2)
operations per pixel, where \sigma_s is the (effective) width of the spatial
kernel. A fast implementation of the bilateral filter was recently proposed in
[2] that required O(1) operations per pixel with respect to \sigma_s. This was
done by us... | computer science |
38,618 | A Framework for Automated Cell Tracking in Phase Contrast Microscopic
Videos based on Normal Velocities | cs.CV | This paper introduces a novel framework for the automated tracking of cells,
with a particular focus on the challenging situation of phase contrast
microscopic videos. Our framework is based on a topology preserving variational
segmentation approach applied to normal velocity components obtained from
optical flow compu... | computer science |
38,619 | Skull-stripping for Tumor-bearing Brain Images | cs.CV | Skull-stripping separates the skull region of the head from the soft brain
tissues. In many cases of brain image analysis, this is an essential
preprocessing step in order to improve the final result. This is true for both
registration and segmentation tasks. In fact, skull-stripping of magnetic
resonance images (MRI) ... | computer science |
38,620 | New approach using Bayesian Network to improve content based image
classification systems | cs.CV | This paper proposes a new approach based on augmented naive Bayes for image
classification. Initially, each image is cutting in a whole of blocks. For each
block, we compute a vector of descriptors. Then, we propose to carry out a
classification of the vectors of descriptors to build a vector of labels for
each image. ... | computer science |
38,621 | Watersheds, waterfalls, on edge or node weighted graphs | cs.CV | We present an algebraic approach to the watershed adapted to edge or node
weighted graphs. Starting with the flooding adjunction, we introduce the
flooding graphs, for which node and edge weights may be deduced one from the
other. Each node weighted or edge weighted graph may be transformed in a
flooding graph, showing... | computer science |
38,622 | Image Restoration with Signal-dependent Camera Noise | cs.CV | This article describes a fast iterative algorithm for image denoising and
deconvolution with signal-dependent observation noise. We use an optimization
strategy based on variable splitting that adapts traditional Gaussian
noise-based restoration algorithms to account for the observed image being
corrupted by mixed Pois... | computer science |
38,623 | Compensating Interpolation Distortion by Using New Optimized Modular
Method | cs.CV | A modular method was suggested before to recover a band limited signal from
the sample and hold and linearly interpolated (or, in general, an
nth-order-hold) version of the regular samples. In this paper a novel approach
for compensating the distortion of any interpolation based on modular method
has been proposed. In ... | computer science |
38,624 | Statistical Multiresolution Estimation for Variational Imaging: With an
Application in Poisson-Biophotonics | stat.AP | In this paper we present a spatially-adaptive method for image reconstruction
that is based on the concept of statistical multiresolution estimation as
introduced in [Frick K, Marnitz P, and Munk A. "Statistical multiresolution
Dantzig estimation in imaging: Fundamental concepts and algorithmic framework".
Electron. J.... | computer science |
38,625 | Dynamic Template Tracking and Recognition | cs.CV | In this paper we address the problem of tracking non-rigid objects whose
local appearance and motion changes as a function of time. This class of
objects includes dynamic textures such as steam, fire, smoke, water, etc., as
well as articulated objects such as humans performing various actions. We model
the temporal evo... | computer science |
38,626 | Morphological Filtering in Shape Spaces: Applications using Tree-Based
Image Representations | cs.CV | Connected operators are filtering tools that act by merging elementary
regions of an image. A popular strategy is based on tree-based image
representations: for example, one can compute an attribute on each node of the
tree and keep only the nodes for which the attribute is sufficiently strong.
This operation can be se... | computer science |
38,627 | A Unified Multiscale Framework for Discrete Energy Minimization | cs.CV | Discrete energy minimization is a ubiquitous task in computer vision, yet is
NP-hard in most cases. In this work we propose a multiscale framework for
coping with the NP-hardness of discrete optimization. Our approach utilizes
algebraic multiscale principles to efficiently explore the discrete solution
space, yielding ... | computer science |
38,628 | A 3D Segmentation Method for Retinal Optical Coherence Tomography Volume
Data | cs.CV | With the introduction of spectral-domain optical coherence tomography (OCT),
much larger image datasets are routinely acquired compared to what was possible
using the previous generation of time-domain OCT. Thus, the need for 3-D
segmentation methods for processing such data is becoming increasingly
important. We prese... | computer science |
38,629 | OCT Segmentation Survey and Summary Reviews and a Novel 3D Segmentation
Algorithm and a Proof of Concept Implementation | cs.CV | We overview the existing OCT work, especially the practical aspects of it. We
create a novel algorithm for 3D OCT segmentation with the goals of speed and/or
accuracy while remaining flexible in the design and implementation for future
extensions and improvements. The document at this point is a running draft
being ite... | computer science |
38,630 | A phase-sensitive method for filtering on the sphere | math.RT | This paper examines filtering on a sphere, by first examining the roles of
spherical harmonic magnitude and phase. We show that phase is more important
than magnitude in determining the structure of a spherical function. We examine
the properties of linear phase shifts in the spherical harmonic domain, which
suggest a ... | computer science |
38,631 | A Novel Approach of Color Image Hiding using RGB Color planes and DWT | cs.CR | This work proposes a wavelet based Steganographic technique for the color
image. The true color cover image and the true color secret image both are
decomposed into three separate color planes namely R, G and B. Each plane of
the images is decomposed into four sub bands using DWT. Each color plane of the
secret image i... | computer science |
38,632 | Shape Tracking With Occlusions via Coarse-To-Fine Region-Based Sobolev
Descent | cs.CV | We present a method to track the precise shape of an object in video based on
new modeling and optimization on a new Riemannian manifold of parameterized
regions.
Joint dynamic shape and appearance models, in which a template of the object
is propagated to match the object shape and radiance in the next frame, are
ad... | computer science |
38,633 | A Missing and Found Recognition System for Hajj and Umrah | cs.CV | This note describes an integrated recognition system for identifying missing
and found objects as well as missing, dead, and found people during Hajj and
Umrah seasons in the two Holy cities of Makkah and Madina in the Kingdom of
Saudi Arabia. It is assumed that the total estimated number of pilgrims will
reach 20 mill... | computer science |
38,634 | Tenacious tagging of images via Mellin monomials | cs.CV | We describe a method for attaching persistent metadata to an image. The
method can be interpreted as a template-based blind watermarking scheme, robust
to common editing operations, namely: cropping, rotation, scaling, stretching,
shearing, compression, printing, scanning, noise, and color removal. Robustness
is achiev... | computer science |
38,635 | A Session Based Blind Watermarking Technique within the NROI of Retinal
Fundus Images for Authentication Using DWT, Spread Spectrum and Harris Corner
Detection | cs.CV | Digital Retinal Fundus Images helps to detect various ophthalmic diseases by
detecting morphological changes in optical cup, optical disc and macula.
Present work proposes a method for the authentication of medical images based
on Discrete Wavelet Transformation (DWT) and Spread Spectrum. Proper selection
of the Non Re... | computer science |
38,636 | Compressive Optical Deflectometric Tomography: A Constrained
Total-Variation Minimization Approach | cs.CV | Optical Deflectometric Tomography (ODT) provides an accurate characterization
of transparent materials whose complex surfaces present a real challenge for
manufacture and control. In ODT, the refractive index map (RIM) of a
transparent object is reconstructed by measuring light deflection under
multiple orientations. W... | computer science |
38,637 | Constructing the L2-Graph for Robust Subspace Learning and Subspace
Clustering | cs.CV | Under the framework of graph-based learning, the key to robust subspace
clustering and subspace learning is to obtain a good similarity graph that
eliminates the effects of errors and retains only connections between the data
points from the same subspace (i.e., intra-subspace data points). Recent works
achieve good pe... | computer science |
38,638 | Visual Exploration of Simulated and Measured Blood Flow | cs.GR | Morphology of cardiovascular tissue is influenced by the unsteady behavior of
the blood flow and vice versa. Therefore, the pathogenesis of several
cardiovascular diseases is directly affected by the blood-flow dynamics.
Understanding flow behavior is of vital importance to understand the
cardiovascular system and pote... | computer science |
38,639 | Visual Tracking with Similarity Matching Ratio | cs.CV | This paper presents a novel approach to visual tracking: Similarity Matching
Ratio (SMR). The traditional approach of tracking is minimizing some measures
of the difference between the template and a patch from the frame. This
approach is vulnerable to outliers and drastic appearance changes and an
extensive study is f... | computer science |
38,640 | Writing Reusable Digital Geometry Algorithms in a Generic Image
Processing Framework | cs.MS | Digital Geometry software should reflect the generality of the underlying
mathe- matics: mapping the latter to the former requires genericity. By
designing generic solutions, one can effectively reuse digital geometry data
structures and algorithms. We propose an image processing framework focused on
the Generic Progra... | computer science |
38,641 | Refinability of splines from lattice Voronoi cells | math.NA | Splines can be constructed by convolving the indicator function of the
Voronoi cell of a lattice. This paper presents simple criteria that imply that
only a small subset of such spline families can be refined: essentially the
well-known box splines and tensor-product splines. Among the many non-refinable
constructions ... | computer science |
38,642 | PlaceRaider: Virtual Theft in Physical Spaces with Smartphones | cs.CR | As smartphones become more pervasive, they are increasingly targeted by
malware. At the same time, each new generation of smartphone features
increasingly powerful onboard sensor suites. A new strain of sensor malware has
been developing that leverages these sensors to steal information from the
physical environment (e... | computer science |
38,643 | Reclassification formula that provides to surpass K-means method | cs.CV | The paper presents a formula for the reclassification of multidimensional
data points (columns of real numbers, "objects", "vectors", etc.). This formula
describes the change in the total squared error caused by reclassification of
data points from one cluster into another and prompts the way to calculate the
sequence ... | computer science |
38,644 | Review of Statistical Shape Spaces for 3D Data with Comparative Analysis
for Human Faces | cs.CV | With systems for acquiring 3D surface data being evermore commonplace, it has
become important to reliably extract specific shapes from the acquired data. In
the presence of noise and occlusions, this can be done through the use of
statistical shape models, which are learned from databases of clean examples of
the shap... | computer science |
38,645 | Investigating the performance of Correspondence Algorithms in Vision
based Driver-assistance in Indoor Environment | cs.CV | This paper presents the experimental comparison of fourteen stereo matching
algorithms in variant illumination conditions. Different adaptations of global
and local stereo matching techniques are chosen for evaluation The variant
strength and weakness of the chosen correspondence algorithms are explored by
employing th... | computer science |
38,646 | Optical Flow on Evolving Surfaces with an Application to the Analysis of
4D Microscopy Data | math.OC | We extend the concept of optical flow to a dynamic non-Euclidean setting.
Optical flow is traditionally computed from a sequence of flat images. It is
the purpose of this paper to introduce variational motion estimation for images
that are defined on an evolving surface. Volumetric microscopy images depicting
a live ze... | computer science |
38,647 | Image Registration for Stability Testing of MEMS | cs.CV | Image registration, or alignment of two or more images covering the same
scenes or objects, is of great interest in many disciplines such as remote
sensing, medical imaging, astronomy, and computer vision. In this paper, we
introduce a new application of image registration algorithms. We demonstrate
how through a wavel... | computer science |
38,648 | Application of Hopfield Network to Saccades | cs.CV | Human eye movement mechanisms (saccades) are very useful for scene analysis,
including object representation and pattern recognition. In this letter, a
Hopfield neural network to emulate saccades is proposed. The network uses an
energy function that includes location and identification tasks. Computer
simulation shows ... | computer science |
38,649 | Enhancing the retrieval performance by combing the texture and edge
features | cs.CV | In this paper, anew algorithm which is based on geometrical moments and local
binary patterns (LBP) for content based image retrieval (CBIR) is proposed. In
geometrical moments, each vector is compared with the all other vectors for
edge map generation. The same concept is utilized at LBP calculation which is
generatin... | computer science |
38,650 | Binocular disparity as an explanation for the moon illusion | cs.CV | We present another explanation for the moon illusion, the phenomenon in which
the moon looks larger near the horizon than near the zenith. In our model of
the moon illusion, the sky is considered a spatially-contiguous and
geometrically-smooth surface. When an object such as the moon breaks the
contiguity of the surfac... | computer science |
38,651 | Convex Variational Image Restoration with Histogram Priors | math.OC | We present a novel variational approach to image restoration (e.g.,
denoising, inpainting, labeling) that enables to complement established
variational approaches with a histogram-based prior enforcing closeness of the
solution to some given empirical measure. By minimizing a single objective
function, the approach uti... | computer science |
38,652 | Multi-Class Detection and Segmentation of Objects in Depth | cs.CV | The quality of life of many people could be improved by autonomous humanoid
robots in the home. To function in the human world, a humanoid household robot
must be able to locate itself and perceive the environment like a human; scene
perception, object detection and segmentation, and object spatial localization
in 3D a... | computer science |
38,653 | Compressive adaptive computational ghost imaging | cs.CV | Compressive sensing is considered a huge breakthrough in signal acquisition.
It allows recording an image consisting of $N^2$ pixels using much fewer than
$N^2$ measurements if it can be transformed to a basis where most pixels take
on negligibly small values. Standard compressive sensing techniques suffer from
the com... | computer science |
38,654 | Patch-based Probabilistic Image Quality Assessment for Face Selection
and Improved Video-based Face Recognition | cs.CV | In video based face recognition, face images are typically captured over
multiple frames in uncontrolled conditions, where head pose, illumination,
shadowing, motion blur and focus change over the sequence. Additionally,
inaccuracies in face localisation can also introduce scale and alignment
variations. Using all face... | computer science |
38,655 | Shadow Detection: A Survey and Comparative Evaluation of Recent Methods | cs.CV | This paper presents a survey and a comparative evaluation of recent
techniques for moving cast shadow detection. We identify shadow removal as a
critical step for improving object detection and tracking. The survey covers
methods published during the last decade, and places them in a feature-based
taxonomy comprised of... | computer science |
38,656 | Fast Approximate L_infty Minimization: Speeding Up Robust Regression | cs.CV | Minimization of the $L_\infty$ norm, which can be viewed as approximately
solving the non-convex least median estimation problem, is a powerful method
for outlier removal and hence robust regression. However, current techniques
for solving the problem at the heart of $L_\infty$ norm minimization are slow,
and therefore... | computer science |
38,657 | Hiding Image in Image by Five Modulus Method for Image Steganography | cs.MM | This paper is to create a practical steganographic implementation to hide
color image (stego) inside another color image (cover). The proposed technique
uses Five Modulus Method to convert the whole pixels within both the cover and
the stego images into multiples of five. Since each pixels inside the stego
image is div... | computer science |
38,658 | Client-Driven Content Extraction Associated with Table | cs.CV | The goal of the project is to extract content within table in document images
based on learnt patterns. Real-world users i.e., clients first provide a set of
key fields within the table which they think are important. These are first
used to represent the graph where nodes are labelled with semantics including
other fe... | computer science |
38,659 | Dynamic Amelioration of Resolution Mismatches for Local Feature Based
Identity Inference | cs.CV | While existing face recognition systems based on local features are robust to
issues such as misalignment, they can exhibit accuracy degradation when
comparing images of differing resolutions. This is common in surveillance
environments where a gallery of high resolution mugshots is compared to low
resolution CCTV prob... | computer science |
38,660 | Embedding of Blink Frequency in Electrooculography Signal using
Difference Expansion based Reversible Watermarking Technique | cs.CV | In the past few years, like other fields, rapid expansion of digitization and
globalization has influenced the medical field as well. For progress of
diagnostic results most of the reputed hospitals and diagnostic centres all
over the world have started exchanging medical information. In this proposed
method, the calcu... | computer science |
38,661 | Merging Satellite Measurements of Rainfall Using Multi-scale Imagery
Technique | cs.CV | Several passive microwave satellites orbit the Earth and measure rainfall.
These measurements have the advantage of almost full global coverage when
compared to surface rain gauges. However, these satellites have low temporal
revisit and missing data over some regions. Image fusion is a useful technique
to fill in the ... | computer science |
38,662 | Astronomical Image Denoising Using Dictionary Learning | cs.CV | Astronomical images suffer a constant presence of multiple defects that are
consequences of the intrinsic properties of the acquisition equipments, and
atmospheric conditions. One of the most frequent defects in astronomical
imaging is the presence of additive noise which makes a denoising step
mandatory before process... | computer science |
38,663 | GPU Acclerated Automated Feature Extraction from Satellite Images | cs.DC | The availability of large volumes of remote sensing data insists on higher
degree of automation in feature extraction, making it a need of the hour.The
huge quantum of data that needs to be processed entails accelerated processing
to be enabled.GPUs, which were originally designed to provide efficient
visualization, ar... | computer science |
38,664 | A Health Monitoring System for Elder and Sick Persons | cs.CV | This paper discusses a vision based health monitoring system which would be
very easy in use and deployment. Elder and sick people who are not able to talk
or walk they are dependent on other human beings for their daily needs and need
continuous monitoring. The developed system provides facility to the sick or
elder p... | computer science |
38,665 | Filament and Flare Detection in Hα image sequences | cs.CV | Solar storms can have a major impact on the infrastructure of the earth. Some
of the causing events are observable from ground in the H{\alpha} spectral
line. In this paper we propose a new method for the simultaneous detection of
flares and filaments in H{\alpha} image sequences. Therefore we perform several
preproces... | computer science |
38,666 | Pulmonary Vascular Tree Segmentation from Contrast-Enhanced CT Images | cs.CV | We present a pulmonary vessel segmentation algorithm, which is fast, fully
automatic and robust. It uses a coarse segmentation of the airway tree and a
left and right lung labeled volume to restrict a vessel enhancement filter,
based on an offset medialness function, to the lungs. We show the application
of our algorit... | computer science |
38,667 | Markovian models for one dimensional structure estimation on heavily
noisy imagery | cs.CV | Radar (SAR) images often exhibit profound appearance variations due to a
variety of factors including clutter noise produced by the coherent nature of
the illumination. Ultrasound images and infrared images have similar cluttered
appearance, that make 1 dimensional structures, as edges and object boundaries
difficult t... | computer science |
38,668 | Using a bag of Words for Automatic Medical Image Annotation with a
Latent Semantic | cs.IR | We present in this paper a new approach for the automatic annotation of
medical images, using the approach of "bag-of-words" to represent the visual
content of the medical image combined with text descriptors based approach
tf.idf and reduced by latent semantic to extract the co-occurrence between
terms and visual term... | computer science |
38,669 | PyHST2: an hybrid distributed code for high speed tomographic
reconstruction with iterative reconstruction and a priori knowledge
capabilities | math.NA | We present the PyHST2 code which is in service at ESRF for phase-contrast and
absorption tomography. This code has been engineered to sustain the high data
flow typical of the third generation synchrotron facilities (10 terabytes per
experiment) by adopting a distributed and pipelined architecture. The code
implements,... | computer science |
38,670 | OPS-QFTs: A new type of quaternion Fourier transforms based on the
orthogonal planes split with one or two general pure quaternions | math.RA | We explain the orthogonal planes split (OPS) of quaternions based on the
arbitrary choice of one or two linearly independent pure unit quaternions
$f,g$. Next we systematically generalize the quaternionic Fourier transform
(QFT) applied to quaternion fields to conform with the OPS determined by $f,g$,
or by only one pu... | computer science |
38,671 | Quaternionic Fourier-Mellin Transform | math.RA | In this contribution we generalize the classical Fourier Mellin transform [S.
Dorrode and F. Ghorbel, Robust and efficient Fourier-Mellin transform
approximations for gray-level image reconstruction and complete invariant
description, Computer Vision and Image Understanding, 83(1) (2001), 57-78, DOI
10.1006/cviu.2001.0... | computer science |
38,672 | Algebraic foundations of split hypercomplex nonlinear adaptive filtering | cs.CV | A split hypercomplex learning algorithm for the training of nonlinear finite
impulse response adaptive filters for the processing of hypercomplex signals of
any dimension is proposed. The derivation strictly takes into account the laws
of hypercomplex algebra and hypercomplex calculus, some of which have been
neglected... | computer science |
38,673 | Clifford Fourier-Mellin transform with two real square roots of -1 in
Cl(p,q), p+q=2 | math.RA | We describe a non-commutative generalization of the complex Fourier-Mellin
transform to Clifford algebra valued signal functions over the domain
$\R^{p,q}$ taking values in Cl(p,q), p+q=2.
Keywords: algebra, Fourier transforms; Logic, set theory, and algebra,
Fourier analysis, Integral transforms | computer science |
38,674 | Stopping Criterion for the Mean Shift Iterative Algorithm | cs.CV | Image segmentation is a critical step in computer vision tasks constituting
an essential issue for pattern recognition and visual interpretation. In this
paper, we propose a new stopping criterion for the mean shift iterative
algorithm by using images defined in Zn ring, with the goal of reaching a
better segmentation.... | computer science |
38,675 | Sparse Representation-based Image Quality Assessment | cs.CV | A successful approach to image quality assessment involves comparing the
structural information between a distorted and its reference image. However,
extracting structural information that is perceptually important to our visual
system is a challenging task. This paper addresses this issue by employing a
sparse represe... | computer science |
38,676 | Symmetries in LDDMM with higher order momentum distributions | math.DS | In some implementations of the Large Deformation Diffeomorphic Metric Mapping
formulation for image registration we consider the motion of particles which
locally translate image data. We then lift the motion of the particles to
obtain a motion on the entire image. However, it is certainly possible to
consider particle... | computer science |
38,677 | Finite Element Based Tracking of Deforming Surfaces | cs.CV | We present an approach to robustly track the geometry of an object that
deforms over time from a set of input point clouds captured from a single
viewpoint. The deformations we consider are caused by applying forces to known
locations on the object's surface. Our method combines the use of prior
information on the geom... | computer science |
38,678 | Computer simulation based parameter selection for resistance exercise | cs.CV | In contrast to most scientific disciplines, sports science research has been
characterized by comparatively little effort investment in the development of
relevant phenomenological models. Scarcer yet is the application of said models
in practice. We present a framework which allows resistance training
practitioners to... | computer science |
38,679 | Analysing Word Importance for Image Annotation | cs.IR | Image annotation provides several keywords automatically for a given image
based on various tags to describe its contents which is useful in Image
retrieval. Various researchers are working on text based and content based
image annotations [7,9]. It is seen, in traditional Image annotation
approaches, annotation words ... | computer science |
38,680 | Determining Points on Handwritten Mathematical Symbols | cs.CV | In a variety of applications, such as handwritten mathematics and diagram
labelling, it is common to have symbols of many different sizes in use and for
the writing not to follow simple baselines. In order to understand the scale
and relative positioning of individual characters, it is necessary to identify
the locatio... | computer science |
38,681 | P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for
Image Denoising | cs.DC | This paper presents a parallel Salt and Pepper (SP) noise removal algorithm
in a grey level digital image based on the Hypergraph Based Root Mean Square
(HGRMS) approach. HGRMS is generic algorithm for identifying noisy pixels in
any digital image using a two level hierarchical serial approach. However, for
SP noise re... | computer science |
38,682 | Characterizing Ambiguity in Light Source Invariant Shape from Shading | cs.CV | Shape from shading is a classical inverse problem in computer vision. This
shape reconstruction problem is inherently ill-defined; it depends on the
assumed light source direction. We introduce a novel mathematical formulation
for calculating local surface shape based on covariant derivatives of the
shading flow field,... | computer science |
38,683 | Digital Image Tamper Detection Techniques - A Comprehensive Study | cs.CR | Photographs are considered to be the most powerful and trustworthy media of
expression. For a long time, those were accepted as proves of evidences in
varied fields such as journalism, forensic investigations, military
intelligence, scientific research and publications, crime detection and legal
proceedings, investigat... | computer science |
38,684 | The Theory of Unified Relativity for a Biovielectroluminescence
Phenomenon via Fly's Visual and Imaging System | cs.CE | The elucidation upon fly's neuronal patterns as a link to computer graphics
and memory cards I/O's, is investigated for the phenomenon by propounding a
unified theory of Einstein's two known relativities. It is conclusive that
flies could contribute a certain amount of neuromatrices indicating an imagery
function of a ... | computer science |
38,685 | Colour image segmentation by the vector-valued Allen-Cahn phase-field
model: a multigrid solution | cs.CV | We propose a new method for the numerical solution of a PDE-driven model for
colour image segmentation and give numerical examples of the results. The
method combines the vector-valued Allen-Cahn phase field equation with initial
data fitting terms. This method is known to be closely related to the
Mumford-Shah problem... | computer science |
38,686 | Lossless Representation of Graphs using Distributions | math.CO | We consider complete graphs with edge weights and/or node weights taking
values in some set. In the first part of this paper, we show that a large
number of graphs are completely determined, up to isomorphism, by the
distribution of their sub-triangles. In the second part, we propose graph
representations in terms of o... | computer science |
38,687 | The entropy of keys derived from laser speckle | cs.CR | Laser speckle has been proposed in a number of papers as a high-entropy
source of unpredictable bits for use in security applications. Bit strings
derived from speckle can be used for a variety of security purposes such as
identification, authentication, anti-counterfeiting, secure key storage, random
number generation... | computer science |
38,688 | Code Similarity on High Level Programs | cs.CV | This paper presents a new approach for code similarity on High Level
programs. Our technique is based on Fast Dynamic Time Warping, that builds a
warp path or points relation with local restrictions. The source code is
represented into Time Series using the operators inside programming languages
that makes possible the... | computer science |
38,689 | Detecting the Most Unusual Part of a Digital Image | cs.CV | The purpose of this paper is to introduce an algorithm that can detect the
most unusual part of a digital image. The most unusual part of a given shape is
defined as a part of the image that has the maximal distance to all non
intersecting shapes with the same form.
The method can be used to scan image databases with... | computer science |
38,690 | Sparse image representation by discrete cosine/spline based dictionaries | math.NA | Mixed dictionaries generated by cosine and B-spline functions are considered.
It is shown that, by highly nonlinear approaches such as Orthogonal Matching
Pursuit, the discrete version of the proposed dictionaries yields a significant
gain in the sparsity of an image representation. | computer science |
38,691 | An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face
Image | cs.CV | Biometrics based personal identification is regarded as an effective method
for automatically recognizing, with a high confidence a person's identity. A
multimodal biometric systems consolidate the evidence presented by multiple
biometric sources and typically better recognition performance compare to
system based on a... | computer science |
38,692 | Improvements of the 3D images captured with Time-of-Flight cameras | cs.CV | 3D Time-of-Flight camera's images are affected by errors due to the diffuse
(indirect) light and to the flare light. The presented method improves the 3D
image reducing the distance's errors to dark surface objects. This is achieved
by placing one or two contrast tags in the scene at different distances from
the ToF ca... | computer science |
38,693 | Unstructured Human Activity Detection from RGBD Images | cs.RO | Being able to detect and recognize human activities is essential for several
applications, including personal assistive robotics. In this paper, we perform
detection and recognition of unstructured human activity in unstructured
environments. We use a RGBD sensor (Microsoft Kinect) as the input sensor, and
compute a se... | computer science |
38,694 | 3D Terrestrial lidar data classification of complex natural scenes using
a multi-scale dimensionality criterion: applications in geomorphology | cs.CV | 3D point clouds of natural environments relevant to problems in geomorphology
often require classification of the data into elementary relevant classes. A
typical example is the separation of riparian vegetation from ground in fluvial
environments, the distinction between fresh surfaces and rockfall in cliff
environmen... | computer science |
38,695 | Prostate biopsy tracking with deformation estimation | cs.CV | Transrectal biopsies under 2D ultrasound (US) control are the current
clinical standard for prostate cancer diagnosis. The isoechogenic nature of
prostate carcinoma makes it necessary to sample the gland systematically,
resulting in a low sensitivity. Also, it is difficult for the clinician to
follow the sampling proto... | computer science |
38,696 | Median Algorithm for Sector Spectra Calculation from Images Registered
by the Spectral Airglow Temperature Imager | cs.CV | The Spectral Airglow Temperature Imager is an instrument, specially designed
for investigation of the wave processes in the Mesosphere-Lower Thermosphere.
In order to determine the kinematic parameters of a wave, the values of a
physical quantity in different space points and their changes in the time
should be known. ... | computer science |
38,697 | The Chan-Vese Algorithm | cs.CV | Segmentation is the process of partitioning a digital image into multiple
segments (sets of pixels). Such common segmentation tasks including segmenting
written text or segmenting tumors from healthy brain tissue in an MRI image,
etc. Chan-Vese model for active contours is a powerful and flexible method
which is able t... | computer science |
38,698 | Label-Specific Training Set Construction from Web Resource for Image
Annotation | cs.MM | Recently many research efforts have been devoted to image annotation by
leveraging on the associated tags/keywords of web images as training labels. A
key issue to resolve is the relatively low accuracy of the tags. In this paper,
we propose a novel semi-automatic framework to construct a more accurate and
effective tr... | computer science |
38,699 | A Hilbert Scheme in Computer Vision | math.AG | Multiview geometry is the study of two-dimensional images of
three-dimensional scenes, a foundational subject in computer vision. We
determine a universal Groebner basis for the multiview ideal of n generic
cameras. As the cameras move, the multiview varieties vary in a family of
dimension 11n-15. This family is the di... | computer science |
38,700 | Applying Advanced Spaceborne Thermal Emission and Reflection Radiometer
(ASTER) spectral indices for geological mapping and mineral identification on
the Tibetan Plateau | cs.CV | The Tibetan Plateau holds clues to understanding the dynamics and mechanisms
associated with continental growth. Part of the region is characterized by
zones of ophiolitic melange believed to represent the remnants of ancient
oceanic crust and underlying upper mantle emplaced during oceanic closures.
However, due to th... | computer science |
38,701 | 3-Phase Recognition Approach to Pseudo 3D Building Generation from 2D
Floor Plan | cs.GR | Nowadays three dimension (3D) architectural visualisation has become a
powerful tool in the conceptualisation, design and presentation of
architectural products in the construction industry, providing realistic
interaction and walkthrough on engineering products. Traditional ways of
implementing 3D models involves the ... | computer science |
38,702 | Constant-time filtering using shiftable kernels | cs.CV | It was recently demonstrated in [5] that the non-linear bilateral filter [14]
can be efficiently implemented using a constant-time or O(1) algorithm. At the
heart of this algorithm was the idea of approximating the Gaussian range kernel
of the bilateral filter using trigonometric functions. In this letter, we
explain h... | computer science |
38,703 | On the Hilbert transform of wavelets | math.FA | A wavelet is a localized function having a prescribed number of vanishing
moments. In this correspondence, we provide precise arguments as to why the
Hilbert transform of a wavelet is again a wavelet. In particular, we provide
sharp estimates of the localization, vanishing moments, and smoothness of the
transformed wav... | computer science |
38,704 | Fast multi-scale edge-detection in medical ultrasound signals | cs.CV | In this article we suggest a fast multi-scale edge-detection scheme for
medical ultrasound signals. The edge-detector is based on well-known properties
of the continuous wavelet trans- form. To achieve both good localization of
edges and detect only significant edges, we study the maxima-lines of the
wavelet transform.... | computer science |
38,705 | MAS for video objects segmentation and tracking based on active contours
and SURF descriptor | cs.MM | In computer vision, video segmentation and tracking is an important
challenging issue. In this paper, we describe a new video sequences
segmentation and tracking algorithm based on MAS "multi-agent systems" and SURF
"Speeded Up Robust Features". Our approach consists in modelling a multi-agent
system for segmenting the... | computer science |
38,706 | Multimodal Approach for Video Surveillance Indexing and Retrieval | cs.MM | In this paper, we present an overview of a multimodal system to indexing and
searching video sequence by the content that has been developed within the
REGIMVid project. A large part of our system has been developed as part of
TRECVideo evaluation. The MAVSIR platform provides High-level feature
extraction from audio-v... | computer science |
38,707 | Satellite image classification methods and Landsat 5TM bands | cs.CV | This paper attempts to find the most accurate classification method among
parallelepiped, minimum distance and chain methods. Moreover, this study also
challenges to find the suitable combination of bands, which can lead to better
results in case combinations of bands occur. After comparing these three
methods, the cha... | computer science |
38,708 | Detection of copy-move forgery in digital images based on DCT | cs.CV | With rapid advances in digital information processing systems, and more
specifically in digital image processing software, there is a widespread
development of advanced tools and techniques for digital image forgery. One of
the techniques most commonly used is the Copy-move forgery which proceeds by
copying a part of a... | computer science |
38,709 | A Low-Dimensional Representation for Robust Partial Isometric
Correspondences Computation | cs.CV | Intrinsic isometric shape matching has become the standard approach for pose
invariant correspondence estimation among deformable shapes. Most existing
approaches assume global consistency, i.e., the metric structure of the whole
manifold must not change significantly. While global isometric matching is well
understood... | computer science |
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