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23,102 | Fingerprint based bio-starter and bio-access | cs.CV | In the paper will be presented a safety and security system based on
fingerprint technology. The results suggest a new scenario where the new cars
can use a fingerprint sensor integrated in car handle to allow access and in
the dashboard as starter button. | computer science |
23,103 | IS (Iris Security) | cs.CV | In the paper will be presented a safety system based on iridology. The
results suggest a new scenario where the security problem in supervised and
unsupervised areas can be treat with the present system and the iris image
recognition. | computer science |
23,104 | Better Foreground Segmentation Through Graph Cuts | cs.CV | For many tracking and surveillance applications, background subtraction
provides an effective means of segmenting objects moving in front of a static
background. Researchers have traditionally used combinations of morphological
operations to remove the noise inherent in the background-subtracted result.
Such techniques... | computer science |
23,105 | Factor Temporal Prognosis of Tick-Borne Encephalitis Foci Functioning on
the South of Russian Far East | cs.CV | A method of temporal factor prognosis of TE (tick-borne encephalitis)
infection has been developed. The high precision of the prognosis results for a
number of geographical regions of Primorsky Krai has been achieved. The method
can be applied not only to epidemiological research but also to others. | computer science |
23,106 | Geometrical Complexity of Classification Problems | cs.CV | Despite encouraging recent progresses in ensemble approaches, classification
methods seem to have reached a plateau in development. Further advances depend
on a better understanding of geometrical and topological characteristics of
point sets in high-dimensional spaces, the preservation of such characteristics
under fe... | computer science |
23,107 | Computerized Face Detection and Recognition | cs.CV | This publication presents methods for face detection, analysis and
recognition: fast normalized cross-correlation (fast correlation coefficient)
between multiple templates based face pre-detection method, method for
detection of exact face contour based on snakes and Generalized Gradient Vector
Flow field, method for c... | computer science |
23,108 | Blind Detection and Compensation of Camera Lens Geometric Distortions | cs.CV | This paper presents a blind detection and compensation technique for camera
lens geometric distortions. The lens distortion introduces higher-order
correlations in the frequency domain and in turn it can be detected using
higher-order spectral analysis tools without assuming any specific calibration
target. The existin... | computer science |
23,109 | Image compression by rectangular wavelet transform | cs.CV | We study image compression by a separable wavelet basis
$\big\{\psi(2^{k_1}x-i)\psi(2^{k_2}y-j),$ $\phi(x-i)\psi(2^{k_2}y-j),$
$\psi(2^{k_1}(x-i)\phi(y-j),$ $\phi(x-i)\phi(y-i)\big\},$ where $k_1, k_2 \in
\mathbb{Z}_+$; $i,j\in\mathbb{Z}$; and $\phi,\psi$ are elements of a standard
biorthogonal wavelet basis in $L_2(\m... | computer science |
23,110 | Gradient Vector Flow Models for Boundary Extraction in 2D Images | cs.CV | The Gradient Vector Flow (GVF) is a vector diffusion approach based on
Partial Differential Equations (PDEs). This method has been applied together
with snake models for boundary extraction medical images segmentation. The key
idea is to use a diffusion-reaction PDE to generate a new external force field
that makes sna... | computer science |
23,111 | Searching for image information content, its discovery, extraction, and
representation | cs.CV | Image information content is known to be a complicated and controvercial
problem. This paper posits a new image information content definition.
Following the theory of Solomonoff-Kolmogorov-Chaitin's complexity, we define
image information content as a set of descriptions of imafe data structures.
Three levels of such ... | computer science |
23,112 | Paving the Way for Image Understanding: A New Kind of Image
Decomposition is Desired | cs.CV | In this paper we present an unconventional image segmentation approach which
is devised to meet the requirements of image understanding and pattern
recognition tasks. Generally image understanding assumes interplay of two
sub-processes: image information content discovery and image information
content interpretation. D... | computer science |
23,113 | Automatic Face Recognition System Based on Local Fourier-Bessel Features | cs.CV | We present an automatic face verification system inspired by known properties
of biological systems. In the proposed algorithm the whole image is converted
from the spatial to polar frequency domain by a Fourier-Bessel Transform (FBT).
Using the whole image is compared to the case where only face image regions
(local a... | computer science |
23,114 | Face Recognition Based on Polar Frequency Features | cs.CV | A novel biologically motivated face recognition algorithm based on polar
frequency is presented. Polar frequency descriptors are extracted from face
images by Fourier-Bessel transform (FBT). Next, the Euclidean distance between
all images is computed and each image is now represented by its dissimilarity
to the other i... | computer science |
23,115 | Face Verification in Polar Frequency Domain: a Biologically Motivated
Approach | cs.CV | We present a novel local-based face verification system whose components are
analogous to those of biological systems. In the proposed system, after global
registration and normalization, three eye regions are converted from the
spatial to polar frequency domain by a Fourier-Bessel Transform. The resulting
representati... | computer science |
23,116 | Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised
Classification | cs.CV | We present a method for automated segmentation of the vasculature in retinal
images. The method produces segmentations by classifying each image pixel as
vessel or non-vessel, based on the pixel's feature vector. Feature vectors are
composed of the pixel's intensity and continuous two-dimensional Morlet wavelet
transfo... | computer science |
23,117 | A decision support system for ship identification based on the curvature
scale space representation | cs.CV | In this paper, a decision support system for ship identification is
presented. The system receives as input a silhouette of the vessel to be
identified, previously extracted from a side view of the object. This view
could have been acquired with imaging sensors operating at different spectral
ranges (CCD, FLIR, image i... | computer science |
23,118 | Understanding physics from interconnected data | cs.CV | Metal melting on release after explosion is a physical system far from
quilibrium. A complete physical model of this system does not exist, because
many interrelated effects have to be considered. General methodology needs to
be developed so as to describe and understand physical phenomena involved.
The high noise of... | computer science |
23,119 | The Perceptron Algorithm: Image and Signal Decomposition, Compression,
and Analysis by Iterative Gaussian Blurring | cs.CV | A novel algorithm for tunable compression to within the precision of
reproduction targets, or storage, is proposed. The new algorithm is termed the
`Perceptron Algorithm', which utilises simple existing concepts in a novel way,
has multiple immediate commercial application aspects as well as it opens up a
multitude of ... | computer science |
23,120 | The `Face on Mars': a photographic approach for the search of signs of
past civilizations from a macroscopic point of view, factoring long-term
erosion in image reconstruction | cs.CV | This short article presents an alternative view of high resolution imaging
from various sources with the aim of the discovery of potential sites of
archaeological importance, or sites that exhibit `anomalies' such that they may
merit closer inspection and analysis. It is conjectured, and to a certain
extent demonstrate... | computer science |
23,121 | Multilevel Thresholding for Image Segmentation through a Fast
Statistical Recursive Algorithm | cs.CV | A novel algorithm is proposed for segmenting an image into multiple levels
using its mean and variance. Starting from the extreme pixel values at both
ends of the histogram plot, the algorithm is applied recursively on sub-ranges
computed from the previous step, so as to find a threshold level and a new
sub-range for t... | computer science |
23,122 | Locally Adaptive Block Thresholding Method with Continuity Constraint | cs.CV | We present an algorithm that enables one to perform locally adaptive block
thresholding, while maintaining image continuity. Images are divided into
sub-images based some standard image attributes and thresholding technique is
employed over the sub-images. The present algorithm makes use of the thresholds
of neighborin... | computer science |
23,123 | Matching Edges in Images ; Application to Face Recognition | cs.CV | This communication describes a representation of images as a set of edges
characterized by their position and orientation. This representation allows the
comparison of two images and the computation of their similarity. The first
step in this computation of similarity is the seach of a geometrical basis of
the two dime... | computer science |
23,124 | Fourier Analysis and Holographic Representations of 1D and 2D Signals | cs.CV | In this paper, we focus on Fourier analysis and holographic transforms for
signal representation. For instance, in the case of image processing, the
holographic representation has the property that an arbitrary portion of the
transformed image enables reconstruction of the whole image with details
missing. We focus on ... | computer science |
23,125 | Biologically Inspired Hierarchical Model for Feature Extraction and
Localization | cs.CV | Feature extraction and matching are among central problems of computer
vision. It is inefficent to search features over all locations and scales.
Neurophysiological evidence shows that to locate objects in a digital image the
human visual system employs visual attention to a specific object while
ignoring others. The b... | computer science |
23,126 | Face Recognition using Principal Component Analysis and Log-Gabor
Filters | cs.CV | In this article we propose a novel face recognition method based on Principal
Component Analysis (PCA) and Log-Gabor filters. The main advantages of the
proposed method are its simple implementation, training, and very high
recognition accuracy. For recognition experiments we used 5151 face images of
1311 persons from ... | computer science |
23,127 | Recognition of expression variant faces using masked log-Gabor features
and Principal Component Analysis | cs.CV | In this article we propose a method for the recognition of faces with
different facial expressions. For recognition we extract feature vectors by
using log-Gabor filters of multiple orientations and scales. Using sliding
window algorithm and variances -based masking these features are extracted at
image regions that ar... | computer science |
23,128 | Notes on Geometric Measure Theory Applications to Image Processing;
De-noising, Segmentation, Pattern, Texture, Lines, Gestalt and Occlusion | cs.CV | Regularization functionals that lower level set boundary length when used
with L^1 fidelity functionals on signal de-noising on images create artifacts.
These are (i) rounding of corners, (ii) shrinking of radii, (iii) shrinking of
cusps, and (iv) non-smoothing of staircasing. Regularity functionals based upon
total cu... | computer science |
23,129 | An effective edge--directed frequency filter for removal of aliasing in
upsampled images | cs.CV | Raster images can have a range of various distortions connected to their
raster structure. Upsampling them might in effect substantially yield the
raster structure of the original image, known as aliasing. The upsampling
itself may introduce aliasing into the upsampled image as well. The presented
method attempts to re... | computer science |
23,130 | Total Variation Minimization and Graph Cuts for Moving Objects
Segmentation | cs.CV | In this paper, we are interested in the application to video segmentation of
the discrete shape optimization problem involving the shape weighted perimeter
and an additional term depending on a parameter. Based on recent works and in
particular the one of Darbon and Sigelle, we justify the equivalence of the
shape opti... | computer science |
23,131 | Conditional Expressions for Blind Deconvolution: Multi-point form | cs.CV | We present conditional expression (CE) for finding blurs convolved in given
images. The CE is given in terms of the zero-values of the blurs evaluated at
multi-point. The CE can detect multiple blur all at once. We illustrate the
multiple blur-detection by using a test image. | computer science |
23,132 | Simple method to eliminate blur based on Lane and Bates algorithm | cs.CV | A simple search method for finding a blur convolved in a given image is
presented. The method can be easily extended to a large blur. The method has
been experimentally tested with a model blurred image. | computer science |
23,133 | A higher-order active contour model of a `gas of circles' and its
application to tree crown extraction | cs.CV | Many image processing problems involve identifying the region in the image
domain occupied by a given entity in the scene. Automatic solution of these
problems requires models that incorporate significant prior knowledge about the
shape of the region. Many methods for including such knowledge run into
difficulties when... | computer science |
23,134 | Contains and Inside relationships within combinatorial Pyramids | cs.CV | Irregular pyramids are made of a stack of successively reduced graphs
embedded in the plane. Such pyramids are used within the segmentation framework
to encode a hierarchy of partitions. The different graph models used within the
irregular pyramid framework encode different types of relationships between
regions. This ... | computer science |
23,135 | Extraction of cartographic objects in high resolution satellite images
for object model generation | cs.CV | The aim of this study is to detect man-made cartographic objects in
high-resolution satellite images. New generation satellites offer a sub-metric
spatial resolution, in which it is possible (and necessary) to develop methods
at object level rather than at pixel level, and to exploit structural features
of objects. Wit... | computer science |
23,136 | Riemannian level-set methods for tensor-valued data | cs.CV | We present a novel approach for the derivation of PDE modeling
curvature-driven flows for matrix-valued data. This approach is based on the
Riemannian geometry of the manifold of Symmetric Positive Definite Matrices
Pos(n). | computer science |
23,137 | Multiresolution Approximation of Polygonal Curves in Linear Complexity | cs.CV | We propose a new algorithm to the problem of polygonal curve approximation
based on a multiresolution approach. This algorithm is suboptimal but still
maintains some optimality between successive levels of resolution using dynamic
programming. We show theoretically and experimentally that this algorithm has a
linear co... | computer science |
23,138 | Medical Image Segmentation and Localization using Deformable Templates | cs.CV | This paper presents deformable templates as a tool for segmentation and
localization of biological structures in medical images. Structures are
represented by a prototype template, combined with a parametric warp mapping
used to deform the original shape. The localization procedure is achieved using
a multi-stage, mult... | computer science |
23,139 | Enhancement of Noisy Planar Nuclear Medicine Images using Mean Field
Annealing | cs.CV | Nuclear medicine (NM) images inherently suffer from large amounts of noise
and blur. The purpose of this research is to reduce the noise and blur while
maintaining image integrity for improved diagnosis. The proposed solution is to
increase image quality after the standard pre- and post-processing undertaken
by a gamma... | computer science |
23,140 | An Independent Evaluation of Subspace Face Recognition Algorithms | cs.CV | This paper explores a comparative study of both the linear and kernel
implementations of three of the most popular Appearance-based Face Recognition
projection classes, these being the methodologies of Principal Component
Analysis, Linear Discriminant Analysis and Independent Component Analysis. The
experimental proced... | computer science |
23,141 | MI image registration using prior knowledge | cs.CV | Subtraction of aligned images is a means to assess changes in a wide variety
of clinical applications. In this paper we explore the information theoretical
origin of Mutual Information (MI), which is based on Shannon's entropy.However,
the interpretation of standard MI registration as a communication channel
suggests t... | computer science |
23,142 | Automatic Detection of Pulmonary Embolism using Computational
Intelligence | cs.CV | This article describes the implementation of a system designed to
automatically detect the presence of pulmonary embolism in lung scans. These
images are firstly segmented, before alignment and feature extraction using
PCA. The neural network was trained using the Hybrid Monte Carlo method,
resulting in a committee of ... | computer science |
23,143 | Variational local structure estimation for image super-resolution | cs.CV | Super-resolution is an important but difficult problem in image/video
processing. If a video sequence or some training set other than the given
low-resolution image is available, this kind of extra information can greatly
aid in the reconstruction of the high-resolution image. The problem is
substantially more difficul... | computer science |
23,144 | Bandwidth selection for kernel estimation in mixed multi-dimensional
spaces | cs.CV | Kernel estimation techniques, such as mean shift, suffer from one major
drawback: the kernel bandwidth selection. The bandwidth can be fixed for all
the data set or can vary at each points. Automatic bandwidth selection becomes
a real challenge in case of multidimensional heterogeneous features. This paper
presents a s... | computer science |
23,145 | Supervised learning on graphs of spatio-temporal similarity in satellite
image sequences | cs.CV | High resolution satellite image sequences are multidimensional signals
composed of spatio-temporal patterns associated to numerous and various
phenomena. Bayesian methods have been previously proposed in (Heas and Datcu,
2005) to code the information contained in satellite image sequences in a graph
representation usin... | computer science |
23,146 | Learning Similarity for Character Recognition and 3D Object Recognition | cs.CV | I describe an approach to similarity motivated by Bayesian methods. This
yields a similarity function that is learnable using a standard Bayesian
methods. The relationship of the approach to variable kernel and variable
metric methods is discussed. The approach is related to variable kernel
Experimental results on char... | computer science |
23,147 | Learning View Generalization Functions | cs.CV | Learning object models from views in 3D visual object recognition is usually
formulated either as a function approximation problem of a function describing
the view-manifold of an object, or as that of learning a class-conditional
density. This paper describes an alternative framework for learning in visual
object reco... | computer science |
23,148 | View Based Methods can achieve Bayes-Optimal 3D Recognition | cs.CV | This paper proves that visual object recognition systems using only 2D
Euclidean similarity measurements to compare object views against previously
seen views can achieve the same recognition performance as observers having
access to all coordinate information and able of using arbitrary 3D models
internally. Furthermo... | computer science |
23,149 | Hierarchy construction schemes within the Scale set framework | cs.CV | Segmentation algorithms based on an energy minimisation framework often
depend on a scale parameter which balances a fit to data and a regularising
term. Irregular pyramids are defined as a stack of graphs successively reduced.
Within this framework, the scale is often defined implicitly as the height in
the pyramid. H... | computer science |
23,150 | A Class of LULU Operators on Multi-Dimensional Arrays | cs.CV | The LULU operators for sequences are extended to multi-dimensional arrays via
the morphological concept of connection in a way which preserves their
essential properties, e.g. they are separators and form a four element fully
ordered semi-group. The power of the operators is demonstrated by deriving a
total variation p... | computer science |
23,151 | A Fast Hierarchical Multilevel Image Segmentation Method using Unbiased
Estimators | cs.CV | This paper proposes a novel method for segmentation of images by hierarchical
multilevel thresholding. The method is global, agglomerative in nature and
disregards pixel locations. It involves the optimization of the ratio of the
unbiased estimators of within class to between class variances. We obtain a
recursive rela... | computer science |
23,152 | Automatic Text Area Segmentation in Natural Images | cs.CV | We present a hierarchical method for segmenting text areas in natural images.
The method assumes that the text is written with a contrasting color on a more
or less uniform background. But no assumption is made regarding the language or
character set used to write the text. In particular, the text can contain
simple gr... | computer science |
23,153 | Wavelet and Curvelet Moments for Image Classification: Application to
Aggregate Mixture Grading | cs.CV | We show the potential for classifying images of mixtures of aggregate, based
themselves on varying, albeit well-defined, sizes and shapes, in order to
provide a far more effective approach compared to the classification of
individual sizes and shapes. While a dominant (additive, stationary) Gaussian
noise component in ... | computer science |
23,154 | Linear Time Recognition Algorithms for Topological Invariants in 3D | cs.CV | In this paper, we design linear time algorithms to recognize and determine
topological invariants such as the genus and homology groups in 3D. These
properties can be used to identify patterns in 3D image recognition. This has
tremendous amount of applications in 3D medical image analysis. Our method is
based on cubica... | computer science |
23,155 | A New Algorithm for Interactive Structural Image Segmentation | cs.CV | This paper proposes a novel algorithm for the problem of structural image
segmentation through an interactive model-based approach. Interaction is
expressed in the model creation, which is done according to user traces drawn
over a given input image. Both model and input are then represented by means of
attributed rela... | computer science |
23,156 | A multilateral filtering method applied to airplane runway image | cs.CV | By considering the features of the airport runway image filtering, an
improved bilateral filtering method was proposed which can remove noise with
edge preserving. Firstly the steerable filtering decomposition is used to
calculate the sub-band parameters of 4 orients, and the texture feature matrix
is then obtained fro... | computer science |
23,157 | Increasing Linear Dynamic Range of Commercial Digital Photocamera Used
in Imaging Systems with Optical Coding | cs.CV | Methods of increasing linear optical dynamic range of commercial photocamera
for optical-digital imaging systems are described. Use of such methods allows
to use commercial photocameras for optical measurements. Experimental results
are reported. | computer science |
23,158 | Statistical region-based active contours with exponential family
observations | cs.CV | In this paper, we focus on statistical region-based active contour models
where image features (e.g. intensity) are random variables whose distribution
belongs to some parametric family (e.g. exponential) rather than confining
ourselves to the special Gaussian case. Using shape derivation tools, our
effort focuses on c... | computer science |
23,159 | Region-based active contour with noise and shape priors | cs.CV | In this paper, we propose to combine formally noise and shape priors in
region-based active contours. On the one hand, we use the general framework of
exponential family as a prior model for noise. On the other hand, translation
and scale invariant Legendre moments are considered to incorporate the shape
prior (e.g. fi... | computer science |
23,160 | DimReduction - Interactive Graphic Environment for Dimensionality
Reduction | cs.CV | Feature selection is a pattern recognition approach to choose important
variables according to some criteria to distinguish or explain certain
phenomena. There are many genomic and proteomic applications which rely on
feature selection to answer questions such as: selecting signature genes which
are informative about s... | computer science |
23,161 | Directional Cross Diamond Search Algorithm for Fast Block Motion
Estimation | cs.CV | In block-matching motion estimation (BMME), the search patterns have a
significant impact on the algorithm's performance, both the search speed and
the search quality. The search pattern should be designed to fit the motion
vector probability (MVP) distribution characteristics of the real-world
sequences. In this paper... | computer science |
23,162 | Fast Wavelet-Based Visual Classification | cs.CV | We investigate a biologically motivated approach to fast visual
classification, directly inspired by the recent work of Serre et al.
Specifically, trading-off biological accuracy for computational efficiency, we
explore using wavelet and grouplet-like transforms to parallel the tuning of
visual cortex V1 and V2 cells, ... | computer science |
23,163 | Classification of curves in 2D and 3D via affine integral signatures | cs.CV | We propose a robust classification algorithm for curves in 2D and 3D, under
the special and full groups of affine transformations. To each plane or spatial
curve we assign a plane signature curve. Curves, equivalent under an affine
transformation, have the same signature. The signatures introduced in this
paper are bas... | computer science |
23,164 | Conceptualization of seeded region growing by pixels aggregation. Part
1: the framework | cs.CV | Adams and Bishop have proposed in 1994 a novel region growing algorithm
called seeded region growing by pixels aggregation (SRGPA). This paper
introduces a framework to implement an algorithm using SRGPA. This framework is
built around two concepts: localization and organization of applied action.
This conceptualizatio... | computer science |
23,165 | Conceptualization of seeded region growing by pixels aggregation. Part
2: how to localize a final partition invariant about the seeded region
initialisation order | cs.CV | In the previous paper, we have conceptualized the localization and the
organization of seeded region growing by pixels aggregation (SRGPA) but we do
not give the issue when there is a collision between two distinct regions
during the growing process. In this paper, we propose two implementations to
manage two classical... | computer science |
23,166 | Conceptualization of seeded region growing by pixels aggregation. Part
3: a wide range of algorithms | cs.CV | In the two previous papers of this serie, we have created a library, called
Population, dedicated to seeded region growing by pixels aggregation and we
have proposed different growing processes to get a partition with or without a
boundary region to divide the other regions or to get a partition invariant
about the see... | computer science |
23,167 | Conceptualization of seeded region growing by pixels aggregation. Part
4: Simple, generic and robust extraction of grains in granular materials
obtained by X-ray tomography | cs.CV | This paper proposes a simple, generic and robust method to extract the grains
from experimental tridimensionnal images of granular materials obtained by
X-ray tomography. This extraction has two steps: segmentation and splitting.
For the segmentation step, if there is a sufficient contrast between the
different compone... | computer science |
23,168 | The Five Points Pose Problem : A New and Accurate Solution Adapted to
any Geometric Configuration | cs.CV | The goal of this paper is to estimate directly the rotation and translation
between two stereoscopic images with the help of five homologous points. The
methodology presented does not mix the rotation and translation parameters,
which is comparably an important advantage over the methods using the
well-known essential ... | computer science |
23,169 | An image processing analysis of skin textures | cs.CV | Colour and coarseness of skin are visually different. When image processing
is involved in the skin analysis, it is important to quantitatively evaluate
such differences using texture features. In this paper, we discuss a texture
analysis and measurements based on a statistical approach to the pattern
recognition. Grai... | computer science |
23,170 | Automatic Identification and Data Extraction from 2-Dimensional Plots in
Digital Documents | cs.CV | Most search engines index the textual content of documents in digital
libraries. However, scholarly articles frequently report important findings in
figures for visual impact and the contents of these figures are not indexed.
These contents are often invaluable to the researcher in various fields, for
the purposes of d... | computer science |
23,171 | Supervised Dictionary Learning | cs.CV | It is now well established that sparse signal models are well suited to
restoration tasks and can effectively be learned from audio, image, and video
data. Recent research has been aimed at learning discriminative sparse models
instead of purely reconstructive ones. This paper proposes a new step in that
direction, wit... | computer science |
23,172 | Modeling and Control with Local Linearizing Nadaraya Watson Regression | cs.CV | Black box models of technical systems are purely descriptive. They do not
explain why a system works the way it does. Thus, black box models are
insufficient for some problems. But there are numerous applications, for
example, in control engineering, for which a black box model is absolutely
sufficient. In this article... | computer science |
23,173 | Mapping Images with the Coherence Length Diagrams | cs.CV | Statistical pattern recognition methods based on the Coherence Length Diagram
(CLD) have been proposed for medical image analyses, such as quantitative
characterisation of human skin textures, and for polarized light microscopy of
liquid crystal textures. Further investigations are made on image maps
originated from su... | computer science |
23,174 | A Keygraph Classification Framework for Real-Time Object Detection | cs.CV | In this paper, we propose a new approach for keypoint-based object detection.
Traditional keypoint-based methods consist in classifying individual points and
using pose estimation to discard misclassifications. Since a single point
carries no relational features, such methods inherently restrict the usage of
structural... | computer science |
23,175 | Using SLP Neural Network to Persian Handwritten Digits Recognition | cs.CV | This paper has been withdrawn by the author ali pourmohammad. | computer science |
23,176 | Dipole and Quadrupole Moments in Image Processing | cs.CV | This paper proposes an algorithm for image processing, obtained by adapting
to image maps the definitions of two well-known physical quantities. These
quantities are the dipole and quadrupole moments of a charge distribution. We
will see how it is possible to define dipole and quadrupole moments for the
gray-tone maps ... | computer science |
23,177 | Dipole Vectors in Images Processing | cs.CV | Instead of evaluating the gradient field of the brightness map of an image,
we propose the use of dipole vectors. This approach is obtained by adapting to
the image gray-tone distribution the definition of the dipole moment of charge
distributions. We will show how to evaluate the dipoles and obtain a vector
field, whi... | computer science |
23,178 | Color Dipole Moments for Edge Detection | cs.CV | Dipole and higher moments are physical quantities used to describe a charge
distribution. In analogy with electromagnetism, it is possible to define the
dipole moments for a gray-scale image, according to the single aspect of a
gray-tone map. In this paper we define the color dipole moments for color
images. For color ... | computer science |
23,179 | On the closed-form solution of the rotation matrix arising in computer
vision problems | cs.CV | We show the closed-form solution to the maximization of trace(A'R), where A
is given and R is unknown rotation matrix. This problem occurs in many computer
vision tasks involving optimal rotation matrix estimation. The solution has
been continuously reinvented in different fields as part of specific problems.
We summar... | computer science |
23,180 | Point-Set Registration: Coherent Point Drift | cs.CV | Point set registration is a key component in many computer vision tasks. The
goal of point set registration is to assign correspondences between two sets of
points and to recover the transformation that maps one point set to the other.
Multiple factors, including an unknown non-rigid spatial transformation, large
dimen... | computer science |
23,181 | Colorization of Natural Images via L1 Optimization | cs.CV | Natural images in the colour space YUV have been observed to have a
non-Gaussian, heavy tailed distribution (called 'sparse') when the filter
G(U)(r) = U(r) - sum_{s \in N(r)} w{(Y)_{rs}} U(s), is applied to the
chromacity channel U (and equivalently to V), where w is a weighting function
constructed from the intensity... | computer science |
23,182 | A statistical learning approach to color demosaicing | cs.CV | A statistical learning/inference framework for color demosaicing is
presented. We start with simplistic assumptions about color constancy, and
recast color demosaicing as a blind linear inverse problem: color parameterizes
the unknown kernel, while brightness takes on the role of a latent variable. An
expectation-maxim... | computer science |
23,183 | A New Solution to the Relative Orientation Problem using only 3 Points
and the Vertical Direction | cs.CV | This paper presents a new method to recover the relative pose between two
images, using three points and the vertical direction information. The vertical
direction can be determined in two ways: 1- using direct physical measurement
like IMU (inertial measurement unit), 2- using vertical vanishing point. This
knowledge ... | computer science |
23,184 | Segmentation for radar images based on active contour | cs.CV | We exam various geometric active contour methods for radar image
segmentation. Due to special properties of radar images, we propose our new
model based on modified Chan-Vese functional. Our method is efficient in
separating non-meteorological noises from meteorological images. | computer science |
23,185 | A dyadic solution of relative pose problems | cs.CV | A hierarchical interval subdivision is shown to lead to a $p$-adic encoding
of image data. This allows in the case of the relative pose problem in computer
vision and photogrammetry to derive equations having 2-adic numbers as
coefficients, and to use Hensel's lifting method to their solution. This method
is applied to... | computer science |
23,186 | Handwritten Farsi Character Recognition using Artificial Neural Network | cs.CV | Neural Networks are being used for character recognition from last many years
but most of the work was confined to English character recognition. Till date,
a very little work has been reported for Handwritten Farsi Character
recognition. In this paper, we have made an attempt to recognize handwritten
Farsi characters ... | computer science |
23,187 | An Optimal Method For Wake Detection In SAR Images Using Radon
Transformation Combined With Wavelet Filters | cs.CV | A new fangled method for ship wake detection in synthetic aperture radar
(SAR) images is explored here. Most of the detection procedure applies the
Radon transform as its properties outfit more than any other transformation for
the detection purpose. But still it holds problems when the transform is
applied to an image... | computer science |
23,188 | Breast Cancer Detection Using Multilevel Thresholding | cs.CV | This paper presents an algorithm which aims to assist the radiologist in
identifying breast cancer at its earlier stages. It combines several image
processing techniques like image negative, thresholding and segmentation
techniques for detection of tumor in mammograms. The algorithm is verified by
using mammograms from... | computer science |
23,189 | Non-photorealistic image processing: an Impressionist rendering | cs.CV | The paper describes an image processing for a non-photorealistic rendering.
The algorithm is based on a random choice of a set of pixels from those ot the
original image and substitution of them with colour spots. An iterative
procedure is applied to cover, at a desired level, the canvas. The resulting
effect mimics th... | computer science |
23,190 | Pigment Melanin: Pattern for Iris Recognition | cs.CV | Recognition of iris based on Visible Light (VL) imaging is a difficult
problem because of the light reflection from the cornea. Nonetheless, pigment
melanin provides a rich feature source in VL, unavailable in Near-Infrared
(NIR) imaging. This is due to biological spectroscopy of eumelanin, a chemical
not stimulated in... | computer science |
23,191 | Sequential Clustering based Facial Feature Extraction Method for
Automatic Creation of Facial Models from Orthogonal Views | cs.CV | Multiview 3D face modeling has attracted increasing attention recently and
has become one of the potential avenues in future video systems. We aim to make
more reliable and robust automatic feature extraction and natural 3D feature
construction from 2D features detected on a pair of frontal and profile view
face images... | computer science |
23,192 | Automatic creation of urban velocity fields from aerial video | cs.CV | In this paper, we present a system for modelling vehicle motion in an urban
scene from low frame-rate aerial video. In particular, the scene is modelled as
a probability distribution over velocities at every pixel in the image.
We describe the complete system for acquiring this model. The video is
captured from a hel... | computer science |
23,193 | Matching 2-D Ellipses to 3-D Circles with Application to Vehicle Pose
Estimation | cs.CV | Finding the three-dimensional representation of all or a part of a scene from
a single two dimensional image is a challenging task. In this paper we propose
a method for identifying the pose and location of objects with circular
protrusions in three dimensions from a single image and a 3d representation or
model of the... | computer science |
23,194 | A Novel Feature Extraction for Robust EMG Pattern Recognition | cs.CV | Varieties of noises are major problem in recognition of Electromyography
(EMG) signal. Hence, methods to remove noise become most significant in EMG
signal analysis. White Gaussian noise (WGN) is used to represent interference
in this paper. Generally, WGN is difficult to be removed using typical
filtering and solution... | computer science |
23,195 | Writer Identification Using Inexpensive Signal Processing Techniques | cs.CV | We propose to use novel and classical audio and text signal-processing and
otherwise techniques for "inexpensive" fast writer identification tasks of
scanned hand-written documents "visually". The "inexpensive" refers to the
efficiency of the identification process in terms of CPU cycles while
preserving decent accurac... | computer science |
23,196 | A Comparative Study of Removal Noise from Remote Sensing Image | cs.CV | This paper attempts to undertake the study of three types of noise such as
Salt and Pepper (SPN), Random variation Impulse Noise (RVIN), Speckle (SPKN).
Different noise densities have been removed between 10% to 60% by using five
types of filters as Mean Filter (MF), Adaptive Wiener Filter (AWF), Gaussian
Filter (GF), ... | computer science |
23,197 | The Influence of Intensity Standardization on Medical Image Registration | cs.CV | Acquisition-to-acquisition signal intensity variations (non-standardness) are
inherent in MR images. Standardization is a post processing method for
correcting inter-subject intensity variations through transforming all images
from the given image gray scale into a standard gray scale wherein similar
intensities achiev... | computer science |
23,198 | Ball-Scale Based Hierarchical Multi-Object Recognition in 3D Medical
Images | cs.CV | This paper investigates, using prior shape models and the concept of ball
scale (b-scale), ways of automatically recognizing objects in 3D images without
performing elaborate searches or optimization. That is, the goal is to place
the model in a single shot close to the right pose (position, orientation, and
scale) in ... | computer science |
23,199 | Detection of Microcalcification in Mammograms Using Wavelet Transform
and Fuzzy Shell Clustering | cs.CV | Microcalcifications in mammogram have been mainly targeted as a reliable
earliest sign of breast cancer and their early detection is vital to improve
its prognosis. Since their size is very small and may be easily overlooked by
the examining radiologist, computer-based detection output can assist the
radiologist to imp... | computer science |
23,200 | Automatic diagnosis of retinal diseases from color retinal images | cs.CV | Teleophthalmology holds a great potential to improve the quality, access, and
affordability in health care. For patients, it can reduce the need for travel
and provide the access to a superspecialist. Ophthalmology lends itself easily
to telemedicine as it is a largely image based diagnosis. The main goal of the
propos... | computer science |
23,201 | Medical Image Compression using Wavelet Decomposition for Prediction
Method | cs.CV | In this paper offers a simple and lossless compression method for compression
of medical images. Method is based on wavelet decomposition of the medical
images followed by the correlation analysis of coefficients. The correlation
analyses are the basis of prediction equation for each sub band. Predictor
variable select... | computer science |
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