Unnamed: 0 int64 0 41k | title stringlengths 4 274 | category stringlengths 5 18 | summary stringlengths 22 3.66k | theme stringclasses 8
values |
|---|---|---|---|---|
23,402 | Posterior Mean Super-Resolution with a Compound Gaussian Markov Random
Field Prior | cs.CV | This manuscript proposes a posterior mean (PM) super-resolution (SR) method
with a compound Gaussian Markov random field (MRF) prior. SR is a technique to
estimate a spatially high-resolution image from observed multiple
low-resolution images. A compound Gaussian MRF model provides a preferable
prior for natural images... | computer science |
23,403 | Online Discriminative Dictionary Learning for Image Classification Based
on Block-Coordinate Descent Method | cs.CV | Previous researches have demonstrated that the framework of dictionary
learning with sparse coding, in which signals are decomposed as linear
combinations of a few atoms of a learned dictionary, is well adept to
reconstruction issues. This framework has also been used for discrimination
tasks such as image classificati... | computer science |
23,404 | Autocalibration with the Minimum Number of Cameras with Known Pixel
Shape | cs.CV | In 3D reconstruction, the recovery of the calibration parameters of the
cameras is paramount since it provides metric information about the observed
scene, e.g., measures of angles and ratios of distances. Autocalibration
enables the estimation of the camera parameters without using a calibration
device, but by enforci... | computer science |
23,405 | Invariant Scattering Convolution Networks | cs.CV | A wavelet scattering network computes a translation invariant image
representation, which is stable to deformations and preserves high frequency
information for classification. It cascades wavelet transform convolutions with
non-linear modulus and averaging operators. The first network layer outputs
SIFT-type descripto... | computer science |
23,406 | A comparative evaluation of two algorithms of detection of masses on
mammograms | cs.CV | In this paper, we implement and carry out the comparison of two methods of
computer-aided-detection of masses on mammograms. The two algorithms basically
consist of 3 steps each: segmentation, binarization and noise suppression using
different techniques for each step. A database of 60 images was used to compare
the pe... | computer science |
23,407 | Substructure and Boundary Modeling for Continuous Action Recognition | cs.CV | This paper introduces a probabilistic graphical model for continuous action
recognition with two novel components: substructure transition model and
discriminative boundary model. The first component encodes the sparse and
global temporal transition prior between action primitives in state-space model
to handle the lar... | computer science |
23,408 | Video Object Tracking and Analysis for Computer Assisted Surgery | cs.CV | Pedicle screw insertion technique has made revolution in the surgical
treatment of spinal fractures and spinal disorders. Although X- ray fluoroscopy
based navigation is popular, there is risk of prolonged exposure to X- ray
radiation. Systems that have lower radiation risk are generally quite
expensive. The position a... | computer science |
23,409 | Enhancement of Images using Morphological Transformation | cs.CV | This paper deals with enhancement of images with poor contrast and detection
of background. Proposes a frame work which is used to detect the background in
images characterized by poor contrast. Image enhancement has been carried out
by the two methods based on the Weber's law notion. The first method employs
informati... | computer science |
23,410 | Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape | cs.CV | We present a rectangle-based segmentation algorithm that sets up a graph and
performs a graph cut to separate an object from the background. However,
graph-based algorithms distribute the graph's nodes uniformly and equidistantly
on the image. Then, a smoothness term is added to force the cut to prefer a
particular sha... | computer science |
23,411 | Integrated three-dimensional reconstruction using reflectance fields | cs.CV | A method to obtain three-dimensional data of real-world objects by
integrating their material properties is presented. The material properties are
defined by capturing the Reflectance Fields of the real-world objects. It is
shown, unlike conventional reconstruction methods, the method is able to use
the reflectance inf... | computer science |
23,412 | Single Reduct Generation Based on Relative Indiscernibility of Rough Set
Theory | cs.CV | In real world everything is an object which represents particular classes.
Every object can be fully described by its attributes. Any real world dataset
contains large number of attributes and objects. Classifiers give poor
performance when these huge datasets are given as input to it for proper
classification. So from... | computer science |
23,413 | Reconstruction error in a motion capture system | cs.CV | Marker-based motion capture (MoCap) systems can be composed by several dozens
of cameras with the purpose of reconstructing the trajectories of hundreds of
targets. With a large amount of cameras it becomes interesting to determine the
optimal reconstruction strategy. For such aim it is of fundamental importance
to und... | computer science |
23,414 | Extraction of Facial Feature Points Using Cumulative Histogram | cs.CV | This paper proposes a novel adaptive algorithm to extract facial feature
points automatically such as eyebrows corners, eyes corners, nostrils, nose
tip, and mouth corners in frontal view faces, which is based on cumulative
histogram approach by varying different threshold values. At first, the method
adopts the Viola-... | computer science |
23,415 | Clustering Using Isoperimetric Number of Trees | cs.CV | In this paper we propose a graph-based data clustering algorithm which is
based on exact clustering of a minimum spanning tree in terms of a minimum
isoperimetry criteria. We show that our basic clustering algorithm runs in $O(n
\log n)$ and with post-processing in $O(n^2)$ (worst case) time where $n$ is
the size of th... | computer science |
23,416 | A Co-Prime Blur Scheme for Data Security in Video Surveillance | cs.CV | This paper presents a novel Coprime Blurred Pair (CBP) model for visual
data-hiding for security in camera surveillance. While most previous approaches
have focused on completely encrypting the video stream, we introduce a spatial
encryption scheme by blurring the image/video contents to create a CBP. Our
goal is to ob... | computer science |
23,417 | Kernel Density Feature Points Estimator for Content-Based Image
Retrieval | cs.CV | Research is taking place to find effective algorithms for content-based image
representation and description. There is a substantial amount of algorithms
available that use visual features (color, shape, texture). Shape feature has
attracted much attention from researchers that there are many shape
representation and d... | computer science |
23,418 | Analysis of Magnification in Depth from Defocus | cs.CV | In depth from defocus (DFD), when images are captured with different camera
parameters, a relative magnification is induced between them. Image warping is
a simpler solution to account for magnification than seemingly more accurate
optical approaches. This work is an investigation into the effects of
magnification on t... | computer science |
23,419 | Face Expression Recognition and Analysis: The State of the Art | cs.CV | The automatic recognition of facial expressions has been an active research
topic since the early nineties. There have been several advances in the past
few years in terms of face detection and tracking, feature extraction
mechanisms and the techniques used for expression classification. This paper
surveys some of the ... | computer science |
23,420 | Efficient Fruit Defect Detection and Glare removal Algorithm by
anisotropic diffusion and 2D Gabor filter | cs.CV | This paper focuses on fruit defect detection and glare removal using
morphological operations, Glare removal can be considered as an important
preprocessing step as uneven lighting may introduce it in images, which hamper
the results produced through segmentation by Gabor filters .The problem of
glare in images is very... | computer science |
23,421 | Principal Component Analysis-Linear Discriminant Analysis Feature
Extractor for Pattern Recognition | cs.CV | Robustness of embedded biometric systems is of prime importance with the
emergence of fourth generation communication devices and advancement in
security systems This paper presents the realization of such technologies which
demands reliable and error-free biometric identity verification systems. High
dimensional patte... | computer science |
23,422 | A Complete Workflow for Development of Bangla OCR | cs.CV | Developing a Bangla OCR requires bunch of algorithm and methods. There were
many effort went on for developing a Bangla OCR. But all of them failed to
provide an error free Bangla OCR. Each of them has some lacking. We discussed
about the problem scope of currently existing Bangla OCR's. In this paper, we
present the b... | computer science |
23,423 | Continuous Markov Random Fields for Robust Stereo Estimation | cs.CV | In this paper we present a novel slanted-plane MRF model which reasons
jointly about occlusion boundaries as well as depth. We formulate the problem
as the one of inference in a hybrid MRF composed of both continuous (i.e.,
slanted 3D planes) and discrete (i.e., occlusion boundaries) random variables.
This allows us to... | computer science |
23,424 | Vision-based Human Gender Recognition: A Survey | cs.CV | Gender is an important demographic attribute of people. This paper provides a
survey of human gender recognition in computer vision. A review of approaches
exploiting information from face and whole body (either from a still image or
gait sequence) is presented. We highlight the challenges faced and survey the
represen... | computer science |
23,425 | Image segmentation by adaptive distance based on EM algorithm | cs.CV | This paper introduces a Bayesian image segmentation algorithm based on finite
mixtures. An EM algorithm is developed to estimate parameters of the Gaussian
mixtures. The finite mixture is a flexible and powerful probabilistic modeling
tool. It can be used to provide a model-based clustering in the field of
pattern reco... | computer science |
23,426 | Automatic liver segmentation method in CT images | cs.CV | The aim of this work is to develop a method for automatic segmentation of the
liver based on a priori knowledge of the image, such as location and shape of
the liver. | computer science |
23,427 | A New Approach for Arabic Handwritten Postal Addresses Recognition | cs.CV | In this paper, we propose an automatic analysis system for the Arabic
handwriting postal addresses recognition, by using the beta elliptical model.
Our system is divided into different steps: analysis, pre-processing and
classification. The first operation is the filtering of image. In the second,
we remove the border ... | computer science |
23,428 | Multi-Level Coding Efficiency with Improved Quality for Image
Compression based on AMBTC | cs.CV | In this paper, we have proposed an extended version of Absolute Moment Block
Truncation Coding (AMBTC) to compress images. Generally the elements of a
bitplane used in the variants of Block Truncation Coding (BTC) are of size 1
bit. But it has been extended to two bits in the proposed method. Number of
statistical mome... | computer science |
23,429 | SVD-EBP Algorithm for Iris Pattern Recognition | cs.CV | This paper proposes a neural network approach based on Error Back Propagation
(EBP) for classification of different eye images. To reduce the complexity of
layered neural network the dimensions of input vectors are optimized using
Singular Value Decomposition (SVD). The main of this work is to provide for
best method f... | computer science |
23,430 | Automatic facial feature extraction and expression recognition based on
neural network | cs.CV | In this paper, an approach to the problem of automatic facial feature
extraction from a still frontal posed image and classification and recognition
of facial expression and hence emotion and mood of a person is presented. Feed
forward back propagation neural network is used as a classifier for classifying
the expressi... | computer science |
23,431 | Image-based Vehicle Classification System | cs.CV | Electronic toll collection (ETC) system has been a common trend used for toll
collection on toll road nowadays. The implementation of electronic toll
collection allows vehicles to travel at low or full speed during the toll
payment, which help to avoid the traffic delay at toll road. One of the major
components of an e... | computer science |
23,432 | The steepest watershed: from graphs to images | cs.CV | The watershed is a powerful tool for segmenting objects whose contours appear
as crest lines on a gradient image. The watershed transform associates to a
topographic surface a partition into catchment basins, defined as attraction
zones of a drop of water falling on the relief and following a line of steepest
descent. ... | computer science |
23,433 | Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity
Space-based Feature Detection and Matching: A Preliminary Result | cs.CV | This paper present our new intensity chromaticity space-based feature
detection and matching algorithm. This approach utilizes hybridization of
wireless local area network and camera internal sensor which to receive signal
strength from a access point and the same time retrieve interest point
information from hallways.... | computer science |
23,434 | Feature Extraction Methods for Color Image Similarity | cs.CV | Many User interactive systems are proposed all methods are trying to
implement as a user friendly and various approaches proposed but most of the
systems not reached to the use specifications like user friendly systems with
user interest, all proposed method implemented basic techniques some are
improved methods also p... | computer science |
23,435 | Collaborative Representation based Classification for Face Recognition | cs.CV | By coding a query sample as a sparse linear combination of all training
samples and then classifying it by evaluating which class leads to the minimal
coding residual, sparse representation based classification (SRC) leads to
interesting results for robust face recognition. It is widely believed that the
l1- norm spars... | computer science |
23,436 | Non-sparse Linear Representations for Visual Tracking with Online
Reservoir Metric Learning | cs.CV | Most sparse linear representation-based trackers need to solve a
computationally expensive L1-regularized optimization problem. To address this
problem, we propose a visual tracker based on non-sparse linear
representations, which admit an efficient closed-form solution without
sacrificing accuracy. Moreover, in order ... | computer science |
23,437 | Speech Recognition: Increasing Efficiency of Support Vector Machines | cs.CV | With the advancement of communication and security technologies, it has
become crucial to have robustness of embedded biometric systems. This paper
presents the realization of such technologies which demands reliable and
error-free biometric identity verification systems. High dimensional patterns
are not permitted due... | computer science |
23,438 | A New Approach of Improving CFA Image for Digital Camera's | cs.CV | This paper work directly towards the improving the quality of the image for
the digital cameras and other visual capturing products. In this Paper, the
authors clearly defines the problems occurs in the CFA image. A different
methodology for removing the noise is discuses in the paper for color
correction and color bal... | computer science |
23,439 | Robust Head Pose Estimation Using Contourlet Transform | cs.CV | Estimating pose of the head is an important preprocessing step in many
pattern recognition and computer vision systems such as face recognition. Since
the performance of the face recognition systems is greatly affected by the
poses of the face, how to estimate the accurate pose of the face in human face
image is still ... | computer science |
23,440 | Background subtraction based on Local Shape | cs.CV | We present a novel approach to background subtraction that is based on the
local shape of small image regions. In our approach, an image region centered
on a pixel is mod-eled using the local self-similarity descriptor. We aim at
obtaining a reliable change detection based on local shape change in an image
when foregro... | computer science |
23,441 | Active Contour with A Tangential Component | cs.CV | Conventional edge-based active contours often require the normal component of
an edge indicator function on the optimal contours to approximate zero, while
the tangential component can still be significant. In real images, the full
gradients of the edge indicator function along the object boundaries are often
small. He... | computer science |
23,442 | Parametric annealing: a stochastic search method for human pose tracking | cs.CV | Model based methods to marker-free motion capture have a very high
computational overhead that make them unattractive. In this paper we describe a
method that improves on existing global optimization techniques to tracking
articulated objects. Our method improves on the state-of-the-art Annealed
Particle Filter (APF) b... | computer science |
23,443 | Elimination of Glass Artifacts and Object Segmentation | cs.CV | Many images nowadays are captured from behind the glasses and may have
certain stains discrepancy because of glass and must be processed to make
differentiation between the glass and objects behind it. This research paper
proposes an algorithm to remove the damaged or corrupted part of the image and
make it consistent ... | computer science |
23,444 | Human Activity Learning using Object Affordances from RGB-D Videos | cs.CV | Human activities comprise several sub-activities performed in a sequence and
involve interactions with various objects. This makes reasoning about the
object affordances a central task for activity recognition. In this work, we
consider the problem of jointly labeling the object affordances and human
activities from RG... | computer science |
23,445 | Performance Measurement and Method Analysis (PMMA) for Fingerprint
Reconstruction | cs.CV | Fingerprint reconstruction is one of the most well-known and publicized
biometrics. Because of their uniqueness and consistency over time, fingerprints
have been used for identification over a century, more recently becoming
automated due to advancements in computed capabilities. Fingerprint
reconstruction is popular b... | computer science |
23,446 | An Efficient Automatic Attendance System Using Fingerprint
Reconstruction Technique | cs.CV | Biometric time and attendance system is one of the most successful
applications of biometric technology. One of the main advantage of a biometric
time and attendance system is it avoids "buddy-punching". Buddy punching was a
major loophole which will be exploiting in the traditional time attendance
systems. Fingerprint... | computer science |
23,447 | Stable Segmentation of Digital Image | cs.CV | In the paper the optimal image segmentation by means of piecewise constant
approximations is considered. The optimality is defined by a minimum value of
the total squared error or by equivalent value of standard deviation of the
approximation from the image. The optimal approximations are defined
independently on the m... | computer science |
23,448 | Color Image Compression Algorithm Based on the DCT Blocks | cs.CV | This paper presents the performance of different blockbased discrete cosine
transform (DCT) algorithms for compressing color image. In this RGB component
of color image are converted to YCbCr before DCT transform is applied. Y is
luminance component;Cb and Cr are chrominance components of the image. The
modification of... | computer science |
23,449 | Contour Completion Around a Fixation Point | cs.CV | The paper presents two edge grouping algorithms for finding a closed contour
starting from a particular edge point and enclosing a fixation point. Both
algorithms search a shortest simple cycle in \textit{an angularly ordered
graph} derived from an edge image where a vertex is an end point of a contour
fragment and an ... | computer science |
23,450 | An Evaluation of Popular Copy-Move Forgery Detection Approaches | cs.CV | A copy-move forgery is created by copying and pasting content within the same
image, and potentially post-processing it. In recent years, the detection of
copy-move forgeries has become one of the most actively researched topics in
blind image forensics. A considerable number of different algorithms have been
proposed ... | computer science |
23,451 | A Survey of Recent View-based 3D Model Retrieval Methods | cs.CV | Extensive research efforts have been dedicated to 3D model retrieval in
recent decades. Recently, view-based methods have attracted much research
attention due to the high discriminative property of multi-views for 3D object
representation. In this report, we summarize the view-based 3D model methods
and provide the fu... | computer science |
23,452 | Improved Total Variation based Image Compressive Sensing Recovery by
Nonlocal Regularization | cs.CV | Recently, total variation (TV) based minimization algorithms have achieved
great success in compressive sensing (CS) recovery for natural images due to
its virtue of preserving edges. However, the use of TV is not able to recover
the fine details and textures, and often suffers from undesirable staircase
artifact. To r... | computer science |
23,453 | Image Super-Resolution via Dual-Dictionary Learning And Sparse
Representation | cs.CV | Learning-based image super-resolution aims to reconstruct high-frequency (HF)
details from the prior model trained by a set of high- and low-resolution image
patches. In this paper, HF to be estimated is considered as a combination of
two components: main high-frequency (MHF) and residual high-frequency (RHF),
and we p... | computer science |
23,454 | Trace transform based method for color image domain identification | cs.CV | Context categorization is a fundamental pre-requisite for multi-domain
multimedia content analysis applications in order to manage contextual
information in an efficient manner. In this paper, we introduce a new color
image context categorization method (DITEC) based on the trace transform. The
problem of dimensionalit... | computer science |
23,455 | An Online Character Recognition System to Convert Grantha Script to
Malayalam | cs.CV | This paper presents a novel approach to recognize Grantha, an ancient script
in South India and converting it to Malayalam, a prevalent language in South
India using online character recognition mechanism. The motivation behind this
work owes its credit to (i) developing a mechanism to recognize Grantha script
in this ... | computer science |
23,456 | The Segmentation Fusion Method On10 Multi-Sensors | cs.CV | The most significant problem may be undesirable effects for the spectral
signatures of fused images as well as the benefits of using fused images mostly
compared to their source images were acquired at the same time by one sensor.
They may or may not be suitable for the fusion of other images. It becomes
therefore incr... | computer science |
23,457 | WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity | cs.CV | This article presents a new distance for measuring shape dissimilarity
between objects. Recent publications introduced the use of eigenvalues of the
Laplace operator as compact shape descriptors. Here, we revisit the eigenvalues
to define a proper distance, called Weighted Spectral Distance (WESD), for
quantifying shap... | computer science |
23,458 | Are You Imitating Me? Unsupervised Sparse Modeling for Group Activity
Analysis from a Single Video | cs.CV | A framework for unsupervised group activity analysis from a single video is
here presented. Our working hypothesis is that human actions lie on a union of
low-dimensional subspaces, and thus can be efficiently modeled as sparse linear
combinations of atoms from a learned dictionary representing the action's
primitives.... | computer science |
23,459 | Benchmarking recognition results on word image datasets | cs.CV | We have benchmarked the maximum obtainable recognition accuracy on various
word image datasets using manual segmentation and a currently available
commercial OCR. We have developed a Matlab program, with graphical user
interface, for semi-automated pixel level segmentation of word images. We
discuss the advantages of p... | computer science |
23,460 | FCM Based Blood Vessel Segmentation Method for Retinal Images | cs.CV | Segmentation of blood vessels in retinal images provides early diagnosis of
diseases like glaucoma, diabetic retinopathy and macular degeneration. Among
these diseases occurrence of Glaucoma is most frequent and has serious ocular
consequences that can even lead to blindness, if it is not detected early. The
clinical c... | computer science |
23,461 | Wavelet Based Normal and Abnormal Heart Sound Identification using
Spectrogram Analysis | cs.CV | The present work proposes a computer-aided normal and abnormal heart sound
identification based on Discrete Wavelet Transform (DWT), it being useful for
tele-diagnosis of heart diseases. Due to the presence of Cumulative Frequency
components in the spectrogram, DWT is applied on the spectro-gram up to n level
to extrac... | computer science |
23,462 | A Comparative Study between Moravec and Harris Corner Detection of Noisy
Images Using Adaptive Wavelet Thresholding Technique | cs.CV | In this paper a comparative study between Moravec and Harris Corner Detection
has been done for obtaining features required to track and recognize objects
within a noisy image. Corner detection of noisy images is a challenging task in
image processing. Natural images often get corrupted by noise during
acquisition and ... | computer science |
23,463 | Wavelet Based QRS Complex Detection of ECG Signal | cs.CV | The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to
detect various cardiovascular diseases by measuring and recording the
electrical activity of the heart in exquisite detail. A wide range of heart
condition is determined by thorough examination of the features of the ECG
report. Automatic extrac... | computer science |
23,464 | Difference of Normals as a Multi-Scale Operator in Unorganized Point
Clouds | cs.CV | A novel multi-scale operator for unorganized 3D point clouds is introduced.
The Difference of Normals (DoN) provides a computationally efficient,
multi-scale approach to processing large unorganized 3D point clouds. The
application of DoN in the multi-scale filtering of two different real-world
outdoor urban LIDAR scen... | computer science |
23,465 | On the Use of Lee's Protocol for Speckle-Reducing Techniques | cs.CV | This paper presents two new MAP (Maximum a Posteriori) filters for speckle
noise reduction and a Monte Carlo procedure for the assessment of their
performance. In order to quantitatively evaluate the results obtained using
these new filters, with respect to classical ones, a Monte Carlo extension of
Lee's protocol is p... | computer science |
23,466 | Blind Image Deblurring by Spectral Properties of Convolution Operators | cs.CV | In this paper, we study the problem of recovering a sharp version of a given
blurry image when the blur kernel is unknown. Previous methods often introduce
an image-independent regularizer (such as Gaussian or sparse priors) on the
desired blur kernel. We shall show that the blurry image itself encodes rich
information... | computer science |
23,467 | Wavelet Based Image Coding Schemes : A Recent Survey | cs.CV | A variety of new and powerful algorithms have been developed for image
compression over the years. Among them the wavelet-based image compression
schemes have gained much popularity due to their overlapping nature which
reduces the blocking artifacts that are common phenomena in JPEG compression
and multiresolution cha... | computer science |
23,468 | Hirarchical Digital Image Inpainting Using Wavelets | cs.CV | Inpainting is the technique of reconstructing unknown or damaged portions of
an image in a visually plausible way. Inpainting algorithm automatically fills
the damaged region in an image using the information available in undamaged
region. Propagation of structure and texture information becomes a challenge as
the size... | computer science |
23,469 | A Novel Approach of Harris Corner Detection of Noisy Images using
Adaptive Wavelet Thresholding Technique | cs.CV | In this paper we propose a method of corner detection for obtaining features
which is required to track and recognize objects within a noisy image. Corner
detection of noisy images is a challenging task in image processing. Natural
images often get corrupted by noise during acquisition and transmission. Though
Corner d... | computer science |
23,470 | Detection and Classification of Viewer Age Range Smart Signs at TV
Broadcast | cs.CV | In this paper, the identification and classification of Viewer Age Range
Smart Signs, designed by the Radio and Television Supreme Council of Turkey, to
give age range information for the TV viewers, are realized. Therefore, the
automatic detection at the broadcast will be possible, enabling the
manufacturing of TV rec... | computer science |
23,471 | Image Super-Resolution via Sparse Bayesian Modeling of Natural Images | cs.CV | Image super-resolution (SR) is one of the long-standing and active topics in
image processing community. A large body of works for image super resolution
formulate the problem with Bayesian modeling techniques and then obtain its
Maximum-A-Posteriori (MAP) solution, which actually boils down to a regularized
regression... | computer science |
23,472 | Head Frontal-View Identification Using Extended LLE | cs.CV | Automatic head frontal-view identification is challenging due to appearance
variations caused by pose changes, especially without any training samples. In
this paper, we present an unsupervised algorithm for identifying frontal view
among multiple facial images under various yaw poses (derived from the same
person). Ou... | computer science |
23,473 | An Efficient Color Face Verification Based on 2-Directional
2-Dimensional Feature Extraction | cs.CV | A novel and uniform framework for face verification is presented in this
paper. First of all, a 2-directional 2-dimensional feature extraction method is
adopted to extract client-specific template - 2D discrimant projection matrix.
Then the face skin color information is utilized as an additive feature to
enhance decis... | computer science |
23,474 | Creation of Digital Test Form for Prepress Department | cs.CV | The main problem in colour management in prepress department is lack of
availability of literature on colour management and knowledge gap between
prepress department and press department. So a digital test from has been
created by Adobe Photoshop to analyse the ICC profile and to create a new
profile and this analysed ... | computer science |
23,475 | Image Classification and Optimized Image Reproduction | cs.CV | By taking into account the properties and limitations of the human visual
system, images can be more efficiently compressed, colors more accurately
reproduced, prints better rendered. To show all these advantages in this paper
new adapted color charts have been created based on technical and visual image
category analy... | computer science |
23,476 | An Implementation of Computer Graphics as Prepress Image Enhancement
Process | cs.CV | The production of a printed product involves three stages: prepress, the
printing process (press) itself, and finishing (post press). There are various
types of equipments (printers, scanners) and various qualities image are
present in the market. These give different color rendering each time during
reproduction. So, ... | computer science |
23,477 | Model based neuro-fuzzy ASR on Texas processor | cs.CV | In this paper an algorithm for recognizing speech has been proposed. The
recognized speech is used to execute related commands which use the MFCC and
two kind of classifiers, first one uses MLP and second one uses fuzzy inference
system as a classifier. The experimental results demonstrate the high gain and
efficiency ... | computer science |
23,478 | Segmentation of Breast Regions in Mammogram Based on Density: A Review | cs.CV | The focus of this paper is to review approaches for segmentation of breast
regions in mammograms according to breast density. Studies based on density
have been undertaken because of the relationship between breast cancer and
density. Breast cancer usually occurs in the fibroglandular area of breast
tissue, which appea... | computer science |
23,479 | Environmental Sounds Spectrogram Classification using Log-Gabor Filters
and Multiclass Support Vector Machines | cs.CV | This paper presents novel approaches for efficient feature extraction using
environmental sound magnitude spectrogram. We propose approach based on the
visual domain. This approach included three methods. The first method is based
on extraction for each spectrogram a single log-Gabor filter followed by mutual
informati... | computer science |
23,480 | Reproduction of Images by Gamut Mapping and Creation of New Test Charts
in Prepress Process | cs.CV | With the advent of digital images the problem of keeping picture
visualization uniformity arises because each printing or scanning device has
its own color chart. So, universal color profiles are made by ICC to bring
uniformity in various types of devices. Keeping that color profile in mind
various new color charts are... | computer science |
23,481 | Face Alignment Using Active Shape Model And Support Vector Machine | cs.CV | The Active Shape Model (ASM) is one of the most popular local texture models
for face alignment. It applies in many fields such as locating facial features
in the image, face synthesis, etc. However, the experimental results show that
the accuracy of the classical ASM for some applications is not high. This paper
sugge... | computer science |
23,482 | The Biometric Menagerie - A Fuzzy and Inconsistent Concept | cs.CV | This paper proves that in iris recognition, the concepts of sheep, goats,
lambs and wolves - as proposed by Doddington and Yager in the so-called
Biometric Menagerie, are at most fuzzy and at least not quite well defined.
They depend not only on the users or on their biometric templates, but also on
the parameters that... | computer science |
23,483 | Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space | cs.CV | This paper analyses the set of iris codes stored or used in an iris
recognition system as an f-granular space. The f-granulation is given by
identifying in the iris code space the extensions of the fuzzy concepts wolves,
goats, lambs and sheep (previously introduced by Doddington as 'animals' of the
biometric menagerie... | computer science |
23,484 | A Semi-automated Statistical Algorithm for Object Separation | cs.CV | We explicate a semi-automated statistical algorithm for object identification
and segregation in both gray scale and color images. The algorithm makes
optimal use of the observation that definite objects in an image are typically
represented by pixel values having narrow Gaussian distributions about
characteristic mean... | computer science |
23,485 | Classifier Fusion Method to Recognize Handwritten Kannada Numerals | cs.CV | Optical Character Recognition (OCR) is one of the important fields in image
processing and pattern recognition domain. Handwritten character recognition
has always been a challenging task. Only a little work can be traced towards
the recognition of handwritten characters for the south Indian languages.
Kannada is one s... | computer science |
23,486 | A Self-Organizing Neural Scheme for Door Detection in Different
Environments | cs.CV | Doors are important landmarks for indoor mobile robot navigation and also
assist blind people to independently access unfamiliar buildings. Most existing
algorithms of door detection are limited to work for familiar environments
because of restricted assumptions about color, texture and shape. In this paper
we propose ... | computer science |
23,487 | Adaptive Foreground and Shadow Detection inImage Sequences | cs.CV | This paper presents a novel method of foreground segmentation that
distinguishes moving objects from their moving cast shadows in monocular image
sequences. The models of background, edge information, and shadow are set up
and adaptively updated. A Bayesian belief network is proposed to describe the
relationships among... | computer science |
23,488 | Stratified SIFT Matching for Human Iris Recognition | cs.CV | This paper proposes an efficient three fold stratified SIFT matching for iris
recognition. The objective is to filter wrongly paired conventional SIFT
matches. In Strata I, the keypoints from gallery and probe iris images are
paired using traditional SIFT approach. Due to high image similarity at
different regions of i... | computer science |
23,489 | PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual
Tracking across Illumination Change | cs.CV | We study the problem of tracking (causally estimating) a time sequence of
sparse spatial signals with changing sparsity patterns, as well as other
unknown states, from a sequence of nonlinear observations corrupted by
(possibly) non-Gaussian noise. In many applications, particularly those in
visual tracking, the unknow... | computer science |
23,490 | A novel processing pipeline for optical multi-touch surfaces | cs.CV | In this thesis a new approach for touch detection on optical multi-touch
devices is proposed that exploits the fact that the camera images reveal not
only the actual touch points but also objects above the screen such as the hand
or arm of a user. The touch processing relies on the Maximally Stable Extremal
Regions alg... | computer science |
23,491 | Causal graph-based video segmentation | cs.CV | Numerous approaches in image processing and computer vision are making use of
super-pixels as a pre-processing step. Among the different methods producing
such over-segmentation of an image, the graph-based approach of Felzenszwalb
and Huttenlocher is broadly employed. One of its interesting properties is that
the regi... | computer science |
23,492 | A Factorized Variational Technique for Phase Unwrapping in Markov Random
Fields | cs.CV | Some types of medical and topographic imaging device produce images in which
the pixel values are "phase-wrapped", i.e. measured modulus a known scalar.
Phase unwrapping can be viewed as the problem of inferring the number of shifts
between each and every pair of neighboring pixels, subject to an a priori
preference fo... | computer science |
23,493 | Clustering Learning for Robotic Vision | cs.CV | We present the clustering learning technique applied to multi-layer
feedforward deep neural networks. We show that this unsupervised learning
technique can compute network filters with only a few minutes and a much
reduced set of parameters. The goal of this paper is to promote the technique
for general-purpose robotic... | computer science |
23,494 | Wavelet-based Scale Saliency | cs.CV | Both pixel-based scale saliency (PSS) and basis project methods focus on
multiscale analysis of data content and structure. Their theoretical relations
and practical combination are previously discussed. However, no models have
ever been proposed for calculating scale saliency on basis-projected
descriptors since then.... | computer science |
23,495 | Recurrent Online Clustering as a Spatio-Temporal Feature Extractor in
DeSTIN | cs.CV | This paper presents a basic enhancement to the DeSTIN deep learning
architecture by replacing the explicitly calculated transition tables that are
used to capture temporal features with a simpler, more scalable mechanism. This
mechanism uses feedback of state information to cluster over a space comprised
of both the sp... | computer science |
23,496 | A Geometric Descriptor for Cell-Division Detection | cs.CV | We describe a method for cell-division detection based on a geometric-driven
descriptor that can be represented as a 5-layers processing network, based
mainly on wavelet filtering and a test for mirror symmetry between pairs of
pixels. After the centroids of the descriptors are computed for a sequence of
frames, the tw... | computer science |
23,497 | Complexity of Representation and Inference in Compositional Models with
Part Sharing | cs.CV | This paper describes serial and parallel compositional models of multiple
objects with part sharing. Objects are built by part-subpart compositions and
expressed in terms of a hierarchical dictionary of object parts. These parts
are represented on lattices of decreasing sizes which yield an executive
summary descriptio... | computer science |
23,498 | Indoor Semantic Segmentation using depth information | cs.CV | This work addresses multi-class segmentation of indoor scenes with RGB-D
inputs. While this area of research has gained much attention recently, most
works still rely on hand-crafted features. In contrast, we apply a multiscale
convolutional network to learn features directly from the images and the depth
information. ... | computer science |
23,499 | Gradient Driven Learning for Pooling in Visual Pipeline Feature
Extraction Models | cs.CV | Hyper-parameter selection remains a daunting task when building a pattern
recognition architecture which performs well, particularly in recently
constructed visual pipeline models for feature extraction. We re-formulate
pooling in an existing pipeline as a function of adjustable pooling map weight
parameters and propos... | computer science |
23,500 | Multiscale Discriminant Saliency for Visual Attention | cs.CV | The bottom-up saliency, an early stage of humans' visual attention, can be
considered as a binary classification problem between center and surround
classes. Discriminant power of features for the classification is measured as
mutual information between features and two classes distribution. The estimated
discrepancy o... | computer science |
23,501 | Multiple models of Bayesian networks applied to offline recognition of
Arabic handwritten city names | cs.CV | In this paper we address the problem of offline Arabic handwriting word
recognition. Off-line recognition of handwritten words is a difficult task due
to the high variability and uncertainty of human writing. The majority of the
recent systems are constrained by the size of the lexicon to deal with and the
number of wr... | computer science |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.