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23,302 | Automatic Open Space Area Extraction and Change Detection from High
Resolution Urban Satellite Images | cs.CV | In this paper, we study efficient and reliable automatic extraction algorithm
to find out the open space area from the high resolution urban satellite
imagery, and to detect changes from the extracted open space area during the
period 2003, 2006 and 2008. This automatic extraction and change detection
algorithm uses so... | computer science |
23,303 | Application of Threshold Techniques for Readability Improvement of Jawi
Historical Manuscript Images | cs.CV | Historical documents such as old books and manuscripts have a high aesthetic
value and highly appreciated. Unfortunately, there are some documents cannot be
read due to quality problems like faded paper, ink expand, uneven colour tone,
torn paper and other elements disruption such as the existence of small spots.
The s... | computer science |
23,304 | Improved Edge Awareness in Discontinuity Preserving Smoothing | cs.CV | Discontinuity preserving smoothing is a fundamentally important procedure
that is useful in a wide variety of image processing contexts. It is directly
useful for noise reduction, and frequently used as an intermediate step in
higher level algorithms. For example, it can be particularly useful in edge
detection and seg... | computer science |
23,305 | Internal Constraints of the Trifocal Tensor | cs.CV | The fundamental matrix and trifocal tensor are convenient algebraic
representations of the epipolar geometry of two and three view configurations,
respectively. The estimation of these entities is central to most
reconstruction algorithms, and a solid understanding of their properties and
constraints is therefore very ... | computer science |
23,306 | An Automated Size Recognition Technique for Acetabular Implant in Total
Hip Replacement | cs.CV | Preoperative templating in Total Hip Replacement (THR) is a method to
estimate the optimal size and position of the implant. Today, observational
(manual) size recognition techniques are still used to find a suitable implant
for the patient. Therefore, a digital and automated technique should be
developed so that the i... | computer science |
23,307 | Considerations and Results in Multimedia and DVB Application Development
on Philips Nexperia Platform | cs.CV | This paper presents some experiments regarding applications development on
high performance media processors included in Philips Nexperia Family. The
PNX1302 dedicated DVB-T kit used has some limitations. Our work has succeeded
to overcome these limitations and to make possible a general-purpose use of
this kit. For ex... | computer science |
23,308 | A Multiple Component Matching Framework for Person Re-Identification | cs.CV | Person re-identification consists in recognizing an individual that has
already been observed over a network of cameras. It is a novel and challenging
research topic in computer vision, for which no reference framework exists yet.
Despite this, previous works share similar representations of human body based
on part de... | computer science |
23,309 | Face Recognition using 3D Facial Shape and Color Map Information:
Comparison and Combination | cs.CV | In this paper, we investigate the use of 3D surface geometry for face
recognition and compare it to one based on color map information. The 3D
surface and color map data are from the CAESAR anthropometric database. We find
that the recognition performance is not very different between 3D surface and
color map informati... | computer science |
23,310 | Invariant Representative Cocycles of Cohomology Generators using
Irregular Graph Pyramids | cs.CV | Structural pattern recognition describes and classifies data based on the
relationships of features and parts. Topological invariants, like the Euler
number, characterize the structure of objects of any dimension. Cohomology can
provide more refined algebraic invariants to a topological space than does
homology. It ass... | computer science |
23,311 | An Algorithmic Solution to the Five-Point Pose Problem Based on the
Cayley Representation of Rotations | cs.CV | We give a new algorithmic solution to the well-known five-point relative pose
problem. Our approach does not deal with the famous cubic constraint on an
essential matrix. Instead, we use the Cayley representation of rotations in
order to obtain a polynomial system from epipolar constraints. Solving that
system, we dire... | computer science |
23,312 | A Multiple-Choice Test Recognition System based on the Gamera Framework | cs.CV | This article describes JECT-OMR, a system that analyzes digital images
representing scans of multiple-choice tests compiled by students. The system
performs a structural analysis of the document in order to get the chosen
answer for each question, and it also contains a bar-code decoder, used for the
identification of ... | computer science |
23,313 | Cubical Cohomology Ring of 3D Photographs | cs.CV | Cohomology and cohomology ring of three-dimensional (3D) objects are
topological invariants that characterize holes and their relations. Cohomology
ring has been traditionally computed on simplicial complexes. Nevertheless,
cubical complexes deal directly with the voxels in 3D images, no additional
triangulation is nec... | computer science |
23,314 | Preprocessing for Automating Early Detection of Cervical Cancer | cs.CV | Uterine Cervical Cancer is one of the most common forms of cancer in women
worldwide. Most cases of cervical cancer can be prevented through screening
programs aimed at detecting precancerous lesions. During Digital Colposcopy,
colposcopic images or cervigrams are acquired in raw form. They contain
specular reflections... | computer science |
23,315 | On the Cohomology of 3D Digital Images | cs.CV | We propose a method for computing the cohomology ring of three--dimensional
(3D) digital binary-valued pictures. We obtain the cohomology ring of a 3D
digital binary--valued picture $I$, via a simplicial complex K(I)topologically
representing (up to isomorphisms of pictures) the picture I. The usefulness of
a simplicia... | computer science |
23,316 | A Tool for Integer Homology Computation: Lambda-At Model | cs.CV | In this paper, we formalize the notion of lambda-AT-model (where $\lambda$ is
a non-null integer) for a given chain complex, which allows the computation of
homological information in the integer domain avoiding using the Smith Normal
Form of the boundary matrices. We present an algorithm for computing such a
model, ob... | computer science |
23,317 | Image Splicing Detection Using Inherent Lens Radial Distortion | cs.CV | Image splicing is a common form of image forgery. Such alterations may leave
no visual clues of tampering. In recent works camera characteristics
consistency across the image has been used to establish the authenticity and
integrity of digital images. Such constant camera characteristic properties are
inherent from cam... | computer science |
23,318 | Neural Networks for Emotion Classification | cs.CV | It is argued that for the computer to be able to interact with humans, it
needs to have the communication skills of humans. One of these skills is the
ability to understand the emotional state of the person. This thesis describes
a neural network-based approach for emotion classification. We learn a
classifier that can... | computer science |
23,319 | Alignment of Microtubule Imagery | cs.CV | This work discusses preliminary work aimed at simulating and visualizing the
growth process of a tiny structure inside the cell---the microtubule.
Difficulty of recording the process lies in the fact that the tissue
preparation method for electronic microscopes is highly destructive to live
cells. Here in this paper, o... | computer science |
23,320 | Incremental Top-k List Comparison Approach to Robust Multi-Structure
Model Fitting | cs.CV | Random hypothesis sampling lies at the core of many popular robust fitting
techniques such as RANSAC. In this paper, we propose a novel hypothesis
sampling scheme based on incremental computation of distances between partial
rankings (top-$k$ lists) derived from residual sorting information. Our method
simultaneously (... | computer science |
23,321 | A Novel Image Segmentation Enhancement Technique based on Active Contour
and Topological Alignments | cs.CV | Topological alignments and snakes are used in image processing, particularly
in locating object boundaries. Both of them have their own advantages and
limitations. To improve the overall image boundary detection system, we focused
on developing a novel algorithm for image processing. The algorithm we propose
to develop... | computer science |
23,322 | An efficient circle detection scheme in digital images using ant system
algorithm | cs.CV | Detection of geometric features in digital images is an important exercise in
image analysis and computer vision. The Hough Transform techniques for
detection of circles require a huge memory space for data processing hence
requiring a lot of time in computing the locations of the data space, writing
to and searching t... | computer science |
23,323 | Comparing Haar-Hilbert and Log-Gabor Based Iris Encoders on Bath Iris
Image Database | cs.CV | This papers introduces a new family of iris encoders which use 2-dimensional
Haar Wavelet Transform for noise attenuation, and Hilbert Transform to encode
the iris texture. In order to prove the usefulness of the newly proposed iris
encoding approach, the recognition results obtained by using these new encoders
are com... | computer science |
23,324 | Robust Mobile Object Tracking Based on Multiple Feature Similarity and
Trajectory Filtering | cs.CV | This paper presents a new algorithm to track mobile objects in different
scene conditions. The main idea of the proposed tracker includes estimation,
multi-features similarity measures and trajectory filtering. A feature set
(distance, area, shape ratio, color histogram) is defined for each tracked
object to search for... | computer science |
23,325 | Polar Fusion Technique Analysis for Evaluating the Performances of Image
Fusion of Thermal and Visual Images for Human Face Recognition | cs.CV | This paper presents a comparative study of two different methods, which are
based on fusion and polar transformation of visual and thermal images. Here,
investigation is done to handle the challenges of face recognition, which
include pose variations, changes in facial expression, partial occlusions,
variations in illu... | computer science |
23,326 | Next Level of Data Fusion for Human Face Recognition | cs.CV | This paper demonstrates two different fusion techniques at two different
levels of a human face recognition process. The first one is called data fusion
at lower level and the second one is the decision fusion towards the end of the
recognition process. At first a data fusion is applied on visual and
corresponding ther... | computer science |
23,327 | High Performance Human Face Recognition using Independent High Intensity
Gabor Wavelet Responses: A Statistical Approach | cs.CV | In this paper, we present a technique by which high-intensity feature vectors
extracted from the Gabor wavelet transformation of frontal face images, is
combined together with Independent Component Analysis (ICA) for enhanced face
recognition. Firstly, the high-intensity feature vectors are automatically
extracted usin... | computer science |
23,328 | DWT Based Fingerprint Recognition using Non Minutiae Features | cs.CV | Forensic applications like criminal investigations, terrorist identification
and National security issues require a strong fingerprint data base and
efficient identification system. In this paper we propose DWT based Fingerprint
Recognition using Non Minutiae (DWTFR) algorithm. Fingerprint image is
decomposed into mult... | computer science |
23,329 | Face Identification from Manipulated Facial Images using SIFT | cs.CV | Editing on digital images is ubiquitous. Identification of deliberately
modified facial images is a new challenge for face identification system. In
this paper, we address the problem of identification of a face or person from
heavily altered facial images. In this face identification problem, the input
to the system i... | computer science |
23,330 | Morphological Reconstruction for Word Level Script Identification | cs.CV | A line of a bilingual document page may contain text words in regional
language and numerals in English. For Optical Character Recognition (OCR) of
such a document page, it is necessary to identify different script forms before
running an individual OCR system. In this paper, we have identified a tool of
morphological ... | computer science |
23,331 | Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities
for CAD Systems | cs.CV | Although radiologists can employ CAD systems to characterize malignancies,
pulmonary fibrosis and other chronic diseases; the design of imaging techniques
to quantify infectious diseases continue to lag behind. There exists a need to
create more CAD systems capable of detecting and quantifying characteristic
patterns o... | computer science |
23,332 | Automated segmentation of the pulmonary arteries in low-dose CT by
vessel tracking | cs.CV | We present a fully automated method for top-down segmentation of the
pulmonary arterial tree in low-dose thoracic CT images. The main basal
pulmonary arteries are identified near the lung hilum by searching for
candidate vessels adjacent to known airways, identified by our previously
reported airway segmentation method... | computer science |
23,333 | Augmented Reality Implementation Methods in Mainstream Applications | cs.CV | Augmented reality has became an useful tool in many areas from space
exploration to military applications. Although used theoretical principles are
well known for almost a decade, the augmented reality is almost exclusively
used in high budget solutions with a special hardware. However, in last few
years we could see r... | computer science |
23,334 | Mobile Augmented Reality Applications | cs.CV | Augmented reality have undergone considerable improvement in past years. Many
special techniques and hardware devices were developed, but the crucial
breakthrough came with the spread of intelligent mobile phones. This enabled
mass spread of augmented reality applications. However mobile devices have
limited hardware c... | computer science |
23,335 | Fingerprint: DWT, SVD Based Enhancement and Significant Contrast for
Ridges and Valleys Using Fuzzy Measures | cs.CV | The performance of the Fingerprint recognition system will be more accurate
with respect of enhancement for the fingerprint images. In this paper we
develop a novel method for Fingerprint image contrast enhancement technique
based on the discrete wavelet transform (DWT) and singular value decomposition
(SVD) has been p... | computer science |
23,336 | Image denoising assessment using anisotropic stack filtering | cs.CV | In this paper we propose a measure of anisotropy as a quality parameter to
estimate the amount of noise in noisy images. The anisotropy of an image can be
determined through a directional measure, using an appropriate statistical
distribution of the information contained in the image. This new measure is
achieved throu... | computer science |
23,337 | Leveraging Billions of Faces to Overcome Performance Barriers in
Unconstrained Face Recognition | cs.CV | We employ the face recognition technology developed in house at face.com to a
well accepted benchmark and show that without any tuning we are able to
considerably surpass state of the art results. Much of the improvement is
concentrated in the high-valued performance point of zero false positive
matches, where the obta... | computer science |
23,338 | Learning Representations by Maximizing Compression | cs.CV | We give an algorithm that learns a representation of data through
compression. The algorithm 1) predicts bits sequentially from those previously
seen and 2) has a structure and a number of computations similar to an
autoencoder. The likelihood under the model can be calculated exactly, and
arithmetic coding can be used... | computer science |
23,339 | Real time face recognition using adaboost improved fast PCA algorithm | cs.CV | This paper presents an automated system for human face recognition in a real
time background world for a large homemade dataset of persons face. The task is
very difficult as the real time background subtraction in an image is still a
challenge. Addition to this there is a huge variation in human face image in
terms of... | computer science |
23,340 | Compressive Imaging using Approximate Message Passing and a Markov-Tree
Prior | cs.CV | We propose a novel algorithm for compressive imaging that exploits both the
sparsity and persistence across scales found in the 2D wavelet transform
coefficients of natural images. Like other recent works, we model wavelet
structure using a hidden Markov tree (HMT) but, unlike other works, ours is
based on loopy belief... | computer science |
23,341 | The Statistical methods of Pixel-Based Image Fusion Techniques | cs.CV | There are many image fusion methods that can be used to produce
high-resolution mutlispectral images from a high-resolution panchromatic (PAN)
image and low-resolution multispectral (MS) of remote sensed images. This paper
attempts to undertake the study of image fusion techniques with different
Statistical techniques ... | computer science |
23,342 | Advanced phase retrieval: maximum likelihood technique with sparse
regularization of phase and amplitude | cs.CV | Sparse modeling is one of the efficient techniques for imaging that allows
recovering lost information. In this paper, we present a novel iterative
phase-retrieval algorithm using a sparse representation of the object amplitude
and phase. The algorithm is derived in terms of a constrained maximum
likelihood, where the ... | computer science |
23,343 | Hierarchical Object Parsing from Structured Noisy Point Clouds | cs.CV | Object parsing and segmentation from point clouds are challenging tasks
because the relevant data is available only as thin structures along object
boundaries or other features, and is corrupted by large amounts of noise. To
handle this kind of data, flexible shape models are desired that can accurately
follow the obje... | computer science |
23,344 | Multisensor Images Fusion Based on Feature-Level | cs.CV | Until now, of highest relevance for remote sensing data processing and
analysis have been techniques for pixel level image fusion. So, This paper
attempts to undertake the study of Feature-Level based image fusion. For this
purpose, feature based fusion techniques, which are usually based on empirical
or heuristic rule... | computer science |
23,345 | Edge detection based on morphological amoebas | cs.CV | Detecting the edges of objects within images is critical for quality image
processing. We present an edge-detecting technique that uses morphological
amoebas that adjust their shape based on variation in image contours. We
evaluate the method both quantitatively and qualitatively for edge detection of
images, and compa... | computer science |
23,346 | Biometric Authorization System using Gait Biometry | cs.CV | Human gait, which is a new biometric aimed to recognize individuals by the
way they walk have come to play an increasingly important role in visual
surveillance applications. In this paper a novel hybrid holistic approach is
proposed to show how behavioural walking characteristics can be used to
recognize unauthorized ... | computer science |
23,347 | Face Recognition using Optimal Representation Ensemble | cs.CV | Recently, the face recognizers based on linear representations have been
shown to deliver state-of-the-art performance. In real-world applications,
however, face images usually suffer from expressions, disguises and random
occlusions. The problematic facial parts undermine the validity of the
linear-subspace assumption... | computer science |
23,348 | Discriminately Decreasing Discriminability with Learned Image Filters | cs.CV | In machine learning and computer vision, input images are often filtered to
increase data discriminability. In some situations, however, one may wish to
purposely decrease discriminability of one classification task (a "distractor"
task), while simultaneously preserving information relevant to another (the
task-of-inte... | computer science |
23,349 | Non-Gaussian Scale Space Filtering with 2 by 2 Matrix of Linear Filters | cs.CV | Construction of a scale space with a convolution filter has been studied
extensively in the past. It has been proven that the only convolution kernel
that satisfies the scale space requirements is a Gaussian type. In this paper,
we consider a matrix of convolution filters introduced in [1] as a building
kernel for a sc... | computer science |
23,350 | A Face Recognition Scheme using Wavelet Based Dominant Features | cs.CV | In this paper, a multi-resolution feature extraction algorithm for face
recognition is proposed based on two-dimensional discrete wavelet transform
(2D-DWT), which efficiently exploits the local spatial variations in a face
image. For the purpose of feature extraction, instead of considering the entire
face image, an e... | computer science |
23,351 | A Comparative Experiment of Several Shape Methods in Recognizing Plants | cs.CV | Shape is an important aspects in recognizing plants. Several approaches have
been introduced to identify objects, including plants. Combination of geometric
features such as aspect ratio, compactness, and dispersion, or moments such as
moment invariants were usually used toidentify plants. In this research, a
comparati... | computer science |
23,352 | Foliage Plant Retrieval using Polar Fourier Transform, Color Moments and
Vein Features | cs.CV | This paper proposed a method that combines Polar Fourier Transform, color
moments, and vein features to retrieve leaf images based on a leaf image. The
method is very useful to help people in recognizing foliage plants. Foliage
plants are plants that have various colors and unique patterns in the leaf.
Therefore, the c... | computer science |
23,353 | Steps Towards a Theory of Visual Information: Active Perception,
Signal-to-Symbol Conversion and the Interplay Between Sensing and Control | cs.CV | This manuscript describes the elements of a theory of information tailored to
control and decision tasks and specifically to visual data. The concept of
Actionable Information is described, that relates to a notion of information
championed by J. Gibson, and a notion of "complete information" that relates to
the minima... | computer science |
23,354 | Closed-Loop Learning of Visual Control Policies | cs.CV | In this paper we present a general, flexible framework for learning mappings
from images to actions by interacting with the environment. The basic idea is
to introduce a feature-based image classifier in front of a reinforcement
learning algorithm. The classifier partitions the visual space according to the
presence or... | computer science |
23,355 | Controlled Total Variation regularization for inverse problems | cs.CV | This paper provides a new algorithm for solving inverse problems, based on
the minimization of the $L^2$ norm and on the control of the Total Variation.
It consists in relaxing the role of the Total Variation in the classical Total
Variation minimization approach, which permits us to get better approximation
to the inv... | computer science |
23,356 | Studying Satellite Image Quality Based on the Fusion Techniques | cs.CV | Various and different methods can be used to produce high-resolution
multispectral images from high-resolution panchromatic image (PAN) and
low-resolution multispectral images (MS), mostly on the pixel level. However,
the jury is still out on the benefits of a fused image compared to its original
images. There is also ... | computer science |
23,357 | Face Recognition Based on SVM and 2DPCA | cs.CV | The paper will present a novel approach for solving face recognition problem.
Our method combines 2D Principal Component Analysis (2DPCA), one of the
prominent methods for extracting feature vectors, and Support Vector Machine
(SVM), the most powerful discriminative method for classification. Experiments
based on propo... | computer science |
23,358 | Hand Tracking based on Hierarchical Clustering of Range Data | cs.CV | Fast and robust hand segmentation and tracking is an essential basis for
gesture recognition and thus an important component for contact-less
human-computer interaction (HCI). Hand gesture recognition based on 2D video
data has been intensively investigated. However, in practical scenarios purely
intensity based approa... | computer science |
23,359 | A New Similarity Measure for Non-Local Means Filtering of MRI Images | cs.CV | The acquisition of MRI images offers a trade-off in terms of acquisition
time, spatial/temporal resolution and signal-to-noise ratio (SNR). Thus, for
instance, increasing the time efficiency of MRI often comes at the expense of
reduced SNR. This, in turn, necessitates the use of post-processing tools for
noise rejectio... | computer science |
23,360 | Graph Regularized Nonnegative Matrix Factorization for Hyperspectral
Data Unmixing | cs.CV | Spectral unmixing is an important tool in hyperspectral data analysis for
estimating endmembers and abundance fractions in a mixed pixel. This paper
examines the applicability of a recently developed algorithm called graph
regularized nonnegative matrix factorization (GNMF) for this aim. The proposed
approach exploits ... | computer science |
23,361 | Sparsity and Robustness in Face Recognition | cs.CV | This report concerns the use of techniques for sparse signal representation
and sparse error correction for automatic face recognition. Much of the recent
interest in these techniques comes from the paper "Robust Face Recognition via
Sparse Representation" by Wright et al. (2009), which showed how, under certain
techni... | computer science |
23,362 | Covariant fractional extension of the modified Laplace-operator used in
3D-shape recovery | cs.CV | Extending the Liouville-Caputo definition of a fractional derivative to a
nonlocal covariant generalization of arbitrary bound operators acting on
multidimensional Riemannian spaces an appropriate approach for the 3D shape
recovery of aperture afflicted 2D slide sequences is proposed. We demonstrate,
that the step from... | computer science |
23,363 | Multimodal diff-hash | cs.CV | Many applications require comparing multimodal data with different structure
and dimensionality that cannot be compared directly. Recently, there has been
increasing interest in methods for learning and efficiently representing such
multimodal similarity. In this paper, we present a simple algorithm for
multimodal simi... | computer science |
23,364 | Iris Recognition Based on LBP and Combined LVQ Classifier | cs.CV | Iris recognition is considered as one of the best biometric methods used for
human identification and verification, this is because of its unique features
that differ from one person to another, and its importance in the security
field. This paper proposes an algorithm for iris recognition and classification
using a sy... | computer science |
23,365 | Efficient Hierarchical Markov Random Fields for Object Detection on a
Mobile Robot | cs.CV | Object detection and classification using video is necessary for intelligent
planning and navigation on a mobile robot. However, current methods can be too
slow or not sufficient for distinguishing multiple classes. Techniques that
rely on binary (foreground/background) labels incorrectly identify areas with
multiple o... | computer science |
23,366 | New Method for 3D Shape Retrieval | cs.CV | The recent technological progress in acquisition, modeling and processing of
3D data leads to the proliferation of a large number of 3D objects databases.
Consequently, the techniques used for content based 3D retrieval has become
necessary. In this paper, we introduce a new method for 3D objects recognition
and retrie... | computer science |
23,367 | Discriminative Local Sparse Representations for Robust Face Recognition | cs.CV | A key recent advance in face recognition models a test face image as a sparse
linear combination of a set of training face images. The resulting sparse
representations have been shown to possess robustness against a variety of
distortions like random pixel corruption, occlusion and disguise. This approach
however makes... | computer science |
23,368 | A Novel Approach to Texture classification using statistical feature | cs.CV | Texture is an important spatial feature which plays a vital role in content
based image retrieval. The enormous growth of the internet and the wide use of
digital data have increased the need for both efficient image database creation
and retrieval procedure. This paper describes a new approach for texture
classificati... | computer science |
23,369 | Good Pairs of Adjacency Relations in Arbitrary Dimensions | cs.CV | In this text we show, that the notion of a "good pair" that was introduced in
the paper "Digital Manifolds and the Theorem of Jordan-Brouwer" has actually
known models. We will show, how to choose cubical adjacencies, the
generalizations of the well known 4- and 8-neighborhood to arbitrary
dimensions, in order to find ... | computer science |
23,370 | A Facial Expression Classification System Integrating Canny, Principal
Component Analysis and Artificial Neural Network | cs.CV | Facial Expression Classification is an interesting research problem in recent
years. There are a lot of methods to solve this problem. In this research, we
propose a novel approach using Canny, Principal Component Analysis (PCA) and
Artificial Neural Network. Firstly, in preprocessing phase, we use Canny for
local regi... | computer science |
23,371 | A Single Euler Number Feature for Multi-font Multi-size Kannada Numeral
Recognition | cs.CV | In this paper a novel approach is proposed based on single Euler number
feature which is free from thinning and size normalization for multi-font and
multi-size Kannada numeral recognition system. A nearest neighbor
classification is used for classification of Kannada numerals by considering
the Euclidian distance. A t... | computer science |
23,372 | Multi-font Multi-size Kannada Numeral Recognition Based on Structural
Features | cs.CV | In this paper a fast and novel method is proposed for multi-font multi-size
Kannada numeral recognition which is thinning free and without size
normalization approach. The different structural feature are used for numeral
recognition namely, directional density of pixels in four directions, water
reservoirs, maximum pr... | computer science |
23,373 | Redundant Wavelets on Graphs and High Dimensional Data Clouds | cs.CV | In this paper, we propose a new redundant wavelet transform applicable to
scalar functions defined on high dimensional coordinates, weighted graphs and
networks. The proposed transform utilizes the distances between the given data
points. We modify the filter-bank decomposition scheme of the redundant wavelet
transform... | computer science |
23,374 | A self-portrait of young Leonardo | cs.CV | One of the most famous drawings by Leonardo da Vinci is a self-portrait in
red chalk, where he looks quite old. In fact, there is a sketch in one of his
notebooks, partially covered by written notes, that can be a self-portrait of
the artist when he was young. The use of image processing, to remove the
handwritten text... | computer science |
23,375 | Facial Asymmetry and Emotional Expression | cs.CV | This report is about facial asymmetry, its connection to emotional
expression, and methods of measuring facial asymmetry in videos of faces. The
research was motivated by two factors: firstly, there was a real opportunity to
develop a novel measure of asymmetry that required minimal human involvement
and that improved ... | computer science |
23,376 | A Theory for Optical flow-based Transport on Image Manifolds | cs.CV | An image articulation manifold (IAM) is the collection of images formed when
an object is articulated in front of a camera. IAMs arise in a variety of image
processing and computer vision applications, where they provide a natural
low-dimensional embedding of the collection of high-dimensional images. To date
IAMs have... | computer science |
23,377 | An image processing of a Raphael's portrait of Leonardo | cs.CV | In one of his paintings, the School of Athens, Raphael is depicting Leonardo
da Vinci as the philosopher Plato. Some image processing tools can help us in
comparing this portrait with two Leonardo's portraits, considered as
self-portraits. | computer science |
23,378 | Invariant texture analysis through Local Binary Patterns | cs.CV | In many image processing applications, such as segmentation and
classification, the selection of robust features descriptors is crucial to
improve the discrimination capabilities in real world scenarios. In particular,
it is well known that image textures constitute power visual cues for feature
extraction and classifi... | computer science |
23,379 | Learning joint intensity-depth sparse representations | cs.CV | This paper presents a method for learning overcomplete dictionaries composed
of two modalities that describe a 3D scene: image intensity and scene depth. We
propose a novel Joint Basis Pursuit (JBP) algorithm that finds related sparse
features in two modalities using conic programming and integrate it into a
two-step d... | computer science |
23,380 | Picture Collage with Genetic Algorithm and Stereo vision | cs.CV | In this paper, a salient region extraction method for creating picture
collage based on stereo vision is proposed. Picture collage is a kind of visual
image summary to arrange all input images on a given canvas, allowing overlay,
to maximize visible visual information. The salient regions of each image are
firstly extr... | computer science |
23,381 | A United Image Force for Deformable Models and Direct Transforming
Geometric Active Contorus to Snakes by Level Sets | cs.CV | A uniform distribution of the image force field around the object fasts the
convergence speed of the segmentation process. However, to achieve this aim, it
causes the force constructed from the heat diffusion model unable to indicate
the object boundaries accurately. The image force based on electrostatic field
model c... | computer science |
23,382 | Adaptive Noise Reduction Scheme for Salt and Pepper | cs.CV | In this paper, a new adaptive noise reduction scheme for images corrupted by
impulse noise is presented. The proposed scheme efficiently identifies and
reduces salt and pepper noise. MAG (Mean Absolute Gradient) is used to identify
pixels which are most likely corrupted by salt and pepper noise that are
candidates for ... | computer science |
23,383 | Nonparametric Sparse Representation | cs.CV | This paper suggests a nonparametric scheme to find the sparse solution of the
underdetermined system of linear equations in the presence of unknown impulsive
or non-Gaussian noise. This approach is robust against any variations of the
noise model and its parameters. It is based on minimization of rank pseudo norm
of th... | computer science |
23,384 | NegCut: Automatic Image Segmentation based on MRF-MAP | cs.CV | Solving the Maximum a Posteriori on Markov Random Field, MRF-MAP, is a
prevailing method in recent interactive image segmentation tools. Although
mathematically explicit in its computational targets, and impressive for the
segmentation quality, MRF-MAP is hard to accomplish without the interactive
information from user... | computer science |
23,385 | G-Lets: Signal Processing Using Transformation Groups | cs.CV | We present an algorithm using transformation groups and their irreducible
representations to generate an orthogonal basis for a signal in the vector
space of the signal. It is shown that multiresolution analysis can be done with
amplitudes using a transformation group. G-lets is thus not a single transform,
but a group... | computer science |
23,386 | Automatic system for counting cells with elliptical shape | cs.CV | This paper presents a new method for automatic quantification of ellipse-like
cells in images, an important and challenging problem that has been studied by
the computer vision community. The proposed method can be described by two main
steps. Initially, image segmentation based on the k-means algorithm is
performed to... | computer science |
23,387 | Fractal and Multi-Scale Fractal Dimension analysis: a comparative study
of Bouligand-Minkowski method | cs.CV | Shape is one of the most important visual attributes to characterize objects,
playing a important role in pattern recognition. There are various approaches
to extract relevant information of a shape. An approach widely used in shape
analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal
Dimension are... | computer science |
23,388 | Variations of images to increase their visibility | cs.CV | The calculus of variations applied to the image processing requires some
numerical models able to perform the variations of images and the extremization
of appropriate actions. To produce the variations of images, there are several
possibilities based on the brightness maps. Before a numerical model, I propose
an exper... | computer science |
23,389 | Spatiotemporal Gabor filters: a new method for dynamic texture
recognition | cs.CV | This paper presents a new method for dynamic texture recognition based on
spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of
investigation that extends the concept of self-similarity of texture image to
the spatiotemporal domain. To model a dynamic texture, we convolve the sequence
of images ... | computer science |
23,390 | A Multimodal Biometric System Using Linear Discriminant Analysis For
Improved Performance | cs.CV | Essentially a biometric system is a pattern recognition system which
recognizes a user by determining the authenticity of a specific anatomical or
behavioral characteristic possessed by the user. With the ever increasing
integration of computers and Internet into daily life style, it has become
necessary to protect sen... | computer science |
23,391 | Image Labeling and Segmentation using Hierarchical Conditional Random
Field Model | cs.CV | The use of hierarchical Conditional Random Field model deal with the problem
of labeling images . At the time of labeling a new image, selection of the
nearest cluster and using the related CRF model to label this image. When one
give input image, one first use the CRF model to get initial pixel labels then
finding the... | computer science |
23,392 | A PCA-Based Super-Resolution Algorithm for Short Image Sequences | cs.CV | In this paper, we present a novel, learning-based, two-step super-resolution
(SR) algorithm well suited to solve the specially demanding problem of
obtaining SR estimates from short image sequences. The first step, devoted to
increase the sampling rate of the incoming images, is performed by fitting
linear combinations... | computer science |
23,393 | A Novel Approach to Fast Image Filtering Algorithm of Infrared Images
based on Intro Sort Algorithm | cs.CV | In this study we investigate the fast image filtering algorithm based on
Intro sort algorithm and fast noise reduction of infrared images. Main feature
of the proposed approach is that no prior knowledge of noise required. It is
developed based on Stefan- Boltzmann law and the Fourier law. We also
investigate the fast ... | computer science |
23,394 | Image decomposition with anisotropic diffusion applied to leaf-texture
analysis | cs.CV | Texture analysis is an important field of investigation that has received a
great deal of interest from computer vision community. In this paper, we
propose a novel approach for texture modeling based on partial differential
equation (PDE). Each image $f$ is decomposed into a family of derived
sub-images. $f$ is split ... | computer science |
23,395 | Compressive Acquisition of Dynamic Scenes | cs.CV | Compressive sensing (CS) is a new approach for the acquisition and recovery
of sparse signals and images that enables sampling rates significantly below
the classical Nyquist rate. Despite significant progress in the theory and
methods of CS, little headway has been made in compressive video acquisition
and recovery. V... | computer science |
23,396 | A New Local Adaptive Thresholding Technique in Binarization | cs.CV | Image binarization is the process of separation of pixel values into two
groups, white as background and black as foreground. Thresholding plays a major
in binarization of images. Thresholding can be categorized into global
thresholding and local thresholding. In images with uniform contrast
distribution of background ... | computer science |
23,397 | Task-Driven Adaptive Statistical Compressive Sensing of Gaussian Mixture
Models | cs.CV | A framework for adaptive and non-adaptive statistical compressive sensing is
developed, where a statistical model replaces the standard sparsity model of
classical compressive sensing. We propose within this framework optimal
task-specific sensing protocols specifically and jointly designed for
classification and recon... | computer science |
23,398 | Comparing Methods for segmentation of Microcalcification Clusters in
Digitized Mammograms | cs.CV | The appearance of microcalcifications in mammograms is one of the early signs
of breast cancer. So, early detection of microcalcification clusters (MCCs) in
mammograms can be helpful for cancer diagnosis and better treatment of breast
cancer. In this paper a computer method has been proposed to support
radiologists in ... | computer science |
23,399 | Using Barriers to Reduce the Sensitivity to Edge Miscalculations of
Casting-Based Object Projection Feature Estimation | cs.CV | 3D motion tracking is a critical task in many computer vision applications.
Unsupervised markerless 3D motion tracking systems determine the most relevant
object in the screen and then track it by continuously estimating its
projection features (center and area) from the edge image and a point inside
the relevant objec... | computer science |
23,400 | Image Fusion and Re-Modified SPIHT for Fused Image | cs.CV | This paper presents the Discrete Wavelet based fusion techniques for
combining perceptually important image features. SPIHT (Set Partitioning in
Hierarchical Trees) algorithm is an efficient method for lossy and lossless
coding of fused image. This paper presents some modifications on the SPIHT
algorithm. It is based o... | computer science |
23,401 | A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial
Data: Visual Classification as An Example | cs.CV | In practical applications, we often have to deal with high order data, such
as a grayscale image and a video sequence are intrinsically 2nd-order tensor
and 3rd-order tensor, respectively. For doing clustering or classification of
these high order data, it is a conventional way to vectorize these data before
hand, as P... | computer science |
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