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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... | A Novel Approach of Harris Corner Detection of Noisy Images using
Adaptive Wavelet Thresholding Technique | 3,600 |
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... | Detection and Classification of Viewer Age Range Smart Signs at TV
Broadcast | 3,601 |
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... | Image Super-Resolution via Sparse Bayesian Modeling of Natural Images | 3,602 |
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... | Head Frontal-View Identification Using Extended LLE | 3,603 |
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... | An Efficient Color Face Verification Based on 2-Directional
2-Dimensional Feature Extraction | 3,604 |
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 ... | Creation of Digital Test Form for Prepress Department | 3,605 |
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... | Image Classification and Optimized Image Reproduction | 3,606 |
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, ... | An Implementation of Computer Graphics as Prepress Image Enhancement
Process | 3,607 |
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 ... | Model based neuro-fuzzy ASR on Texas processor | 3,608 |
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... | Segmentation of Breast Regions in Mammogram Based on Density: A Review | 3,609 |
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... | Environmental Sounds Spectrogram Classification using Log-Gabor Filters
and Multiclass Support Vector Machines | 3,610 |
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... | Reproduction of Images by Gamut Mapping and Creation of New Test Charts
in Prepress Process | 3,611 |
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... | Face Alignment Using Active Shape Model And Support Vector Machine | 3,612 |
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... | The Biometric Menagerie - A Fuzzy and Inconsistent Concept | 3,613 |
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... | Noise Influence on the Fuzzy-Linguistic Partitioning of Iris Code Space | 3,614 |
A framework of demosaicing and superresolution for color filter array (CFA) via residual image reconstruction and sparse representation is presented.Given the intermediate image produced by certain demosaicing and interpolation technique, a residual image between the final reconstruction image and the intermediate imag... | Demosaicing and Superresolution for Color Filter Array via Residual
Image Reconstruction and Sparse Representation | 3,615 |
Optical coherence tomography (OCT) is a powerful and noninvasive method for retinal imaging. In this paper, we introduce a fast segmentation method based on a new variant of spectral graph theory named diffusion maps. The research is performed on spectral domain (SD) OCT images depicting macular and optic nerve head ap... | Intra-Retinal Layer Segmentation of 3D Optical Coherence Tomography
Using Coarse Grained Diffusion Map | 3,616 |
Extracting text objects from the PDF images is a challenging problem. The text data present in the PDF images contain certain useful information for automatic annotation, indexing etc. However variations of the text due to differences in text style, font, size, orientation, alignment as well as complex structure make t... | Enhanced Techniques for PDF Image Segmentation and Text Extraction | 3,617 |
Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook generation and feature quantization procedures using SIFT feature have the high complexity both in time and space. To address this problem, in ... | Combined Descriptors in Spatial Pyramid Domain for Image Classification | 3,618 |
Hyperspectral image is a substitution of more than a hundred images, called bands, of the same region. They are taken at juxtaposed frequencies. The reference image of the region is called Ground Truth map (GT). the problematic is how to find the good bands to classify the pixels of regions; because the bands can be no... | Band Selection and Classification of Hyperspectral Images using Mutual
Information: An algorithm based on minimizing the error probability using the
inequality of Fano | 3,619 |
This paper proposed the use of multi-instance feature level fusion as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-Gabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiments are performed using the FKP database, whic... | Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric | 3,620 |
Most biometric systems deployed in real-world applications are unimodal. Using unimodal biometric systems have to contend with a variety of problems such as: Noise in sensed data; Intra-class variations; Inter-class similarities; Non-universality; Spoof attacks. These problems have addressed by using multibiometric sys... | A Survey of Multibiometric Systems | 3,621 |
Two types of framework for blurred image classification based on adaptive dictionary are proposed. Given a blurred image, instead of image deblurring, the semantic category of the image is determined by blur insensitive sparse coefficients calculated depending on an adaptive dictionary. The dictionary is adaptive to th... | Blurred Image Classification based on Adaptive Dictionary | 3,622 |
Recognizing degraded faces from low resolution and blurred images are common yet challenging task. Local Frequency Descriptor (LFD) has been proved to be effective for this task yet it is extracted from a spatial neighborhood of a pixel of a frequency plane independently regardless of correlations between frequencies. ... | Robust Degraded Face Recognition Using Enhanced Local Frequency
Descriptor and Multi-scale Competition | 3,623 |
The model of low-dimensional manifold and sparse representation are two well-known concise models that suggest each data can be described by a few characteristics. Manifold learning is usually investigated for dimension reduction by preserving some expected local geometric structures from the original space to a low-di... | Learning Locality-Constrained Collaborative Representation for Face
Recognition | 3,624 |
In modern times, face recognition has become one of the key aspects of computer vision. There are at least two reasons for this trend; the first is the commercial and law enforcement applications, and the second is the availability of feasible technologies after years of research. Due to the very nature of the problem,... | A comparative study on face recognition techniques and neural network | 3,625 |
One of the most important steps of document image processing is binarization. The computational requirements of locally adaptive binarization techniques make them unsuitable for devices with limited computing facilities. In this paper, we have presented a computationally efficient implementation of convolution based lo... | Computationally Efficient Implementation of Convolution-based Locally
Adaptive Binarization Techniques | 3,626 |
We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality from few measurements. The image reconstruction is done by iterating the two following steps: 1) estimation of normal vectors of the image level curves and 2) reconstruction of an image fitting the ... | Enhanced Compressed Sensing Recovery with Level Set Normals | 3,627 |
We outline the super-resolution reconstruction problem posed as a maximization of probability. We then introduce an interpolation method based on polygonal pixel overlap, express it as a linear operator, and use it to improve reconstruction. Polygon interpolation outperforms the simpler bilinear interpolation operator ... | A polygon-based interpolation operator for super-resolution imaging | 3,628 |
We propose an image processing scheme based on reordering of its patches. For a given corrupted image, we extract all patches with overlaps, refer to these as coordinates in high-dimensional space, and order them such that they are chained in the "shortest possible path", essentially solving the traveling salesman prob... | Image Processing using Smooth Ordering of its Patches | 3,629 |
Particle Filter is an effective solution to track objects in video sequences in complex situations. Its key idea is to estimate the density over the possible states of the object using a weighted sample whose elements are called particles. One of its crucial step is a resampling step in which particles are resampled to... | DBN-Based Combinatorial Resampling for Articulated Object Tracking | 3,630 |
In prepress department RGB image has to be converted to CMYK image. To control that amount of black, cyan, magenta and yellow has to be controlled by using color separation method. Graycolor separation method is selected to control the amounts of these colors because it increase the quality of printing also. A single p... | Developing ICC Profile Using Gray Level Control In Offset Printing
Process | 3,631 |
In this research paper we suggest how to extract a face from an image, modify it, characterize it in terms of high-level properties, and apply it to the creation of a personalized avatar. In this research work we tested, we implemented the algorithm on several hundred facial images, including many taken under uncontrol... | Novel Architecture for 3D model in virtual communities from detected
face | 3,632 |
The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be observed late in the first year of life. Many of these studies involved extensive f... | Computer vision tools for the non-invasive assessment of autism-related
behavioral markers | 3,633 |
In this work, we present a new 3D face recognition method based on Speeded-Up Local Descriptor (SULD) of significant points extracted from the range images of faces. The proposed model consists of a method for extracting distinctive invariant features from range images of faces that can be used to perform reliable matc... | 3D Face Recognition using Significant Point based SULD Descriptor | 3,634 |
We report a method for super-resolution of range images. Our approach leverages the interpretation of LR image as sparse samples on the HR grid. Based on this interpretation, we demonstrate that our recently reported approach, which reconstructs dense range images from sparse range data by exploiting a registered colou... | Resolution Enhancement of Range Images via Color-Image Segmentation | 3,635 |
From 1960's to 1970's, the Chinese Army built some fortified artificial hills. Some of them are located in the Inner Mongolia, Western China. These large fortresses are surrounded by moats. For some of them it is still possible to see earthworks, trenches and ditches, the planning of which could have a symbolic meaning... | The fortresses of Ejin: an example of outlining a site from satellite
images | 3,636 |
Texture is the term used to characterize the surface of a given object or phenomenon and is an important feature used in image processing and pattern recognition. Our aim is to compare various Texture analyzing methods and compare the results based on time complexity and accuracy of classification. The project describe... | Performance Evaluation of Different Techniques for texture
Classification | 3,637 |
In structural pattern recognition, given a set of graphs, the computation of a Generalized Median Graph is a well known problem. Some methods approach the problem by assuming a relation between the Generalized Median Graph and the Common Labelling problem. However, this relation has still not been formally proved. In t... | On the Relation Between the Common Labelling and the Median Graph | 3,638 |
In the feature classification domain, the choice of data affects widely the results. For the Hyperspectral image, the bands dont all contain the information; some bands are irrelevant like those affected by various atmospheric effects, see Figure.4, and decrease the classification accuracy. And there exist redundant ba... | Dimensionality Reduction and Classification Feature Using Mutual
Information Applied to Hyperspectral Images: A Wrapper Strategy Algorithm
Based on Minimizing the Error Probability Using the Inequality of Fano | 3,639 |
The paper evaluates the error performance of three random finite set based multi-object trackers in the context of pedestrian video tracking. The evaluation is carried out using a publicly available video dataset of 4500 frames (town centre street) for which the ground truth is available. The input to all pedestrian tr... | Performance Evaluation of Random Set Based Pedestrian Tracking
Algorithms | 3,640 |
The incidence of thyroid nodule is very high and generally increases with the age. Thyroid nodule may presage the emergence of thyroid cancer. The thyroid nodule can be completely cured if detected early. Fine needle aspiration cytology is a recognized early diagnosis method of thyroid nodule. There are still some limi... | Segmentation of ultrasound images of thyroid nodule for assisting fine
needle aspiration cytology | 3,641 |
Remote sensing is a technology to acquire data for disatant substances, necessary to construct a model knowledge for applications as classification. Recently Hyperspectral Images (HSI) becomes a high technical tool that the main goal is to classify the point of a region. The HIS is more than a hundred bidirectional mea... | Application of Symmetric Uncertainty and Mutual Information to
Dimensionality Reduction and Classification of Hyperspectral Images | 3,642 |
Radon Transformation is generally used to construct optical image (like CT image) from the projection data in biomedical imaging. In this paper, the concept of Radon Transformation is implemented to reconstruct Electrical Impedance Topographic Image (conductivity or resistivity distribution) of a circular subject. A pa... | Implementation of Radon Transformation for Electrical Impedance
Tomography (EIT) | 3,643 |
Motion capture is the process of recording the movement of objects or people. It is used in military, entertainment, sports, and medical applications, and for validation of computer vision[2] and robotics. In filmmaking and video game development, it refers to recording actions of human actors, and using that informati... | Gender Recognition in Walk Gait through 3D Motion by Quadratic Bezier
Curve and Statistical Techniques | 3,644 |
Image computing has become a real catchphrase over the past few years and the interpretations of the meaning of the term vary greatly. The Imagecomputing market is currently rapidly evolving with high growth prospects and almost daily announcements of new devices and application platforms, which results in an increasin... | Different Operating Systems Compatible for Image Prepress Process in
Color Management: Analysis and Performance Testing | 3,645 |
Non-Local Means (NLM) and variants have been proven to be effective and robust in many image denoising tasks. In this letter, we study the parameter selection problem of center pixel weights (CPW) in NLM. Our key contributions are: 1) we give a novel formulation of the CPW problem from the statistical shrinkage perspec... | James-Stein Type Center Pixel Weights for Non-Local Means Image
Denoising | 3,646 |
We pose 3D scene-understanding as a problem of parsing in a grammar. A grammar helps us capture the compositional structure of real-word objects, e.g., a chair is composed of a seat, a back-rest and some legs. Having multiple rules for an object helps us capture structural variations in objects, e.g., a chair can optio... | 3D Scene Grammar for Parsing RGB-D Pointclouds | 3,647 |
This paper is practically interested in the unchangeable feature of Arabic handwritten character. It presents results of comparative study achieved on certain features extraction techniques of handwritten character, based on Hough transform, Fourier transform, Wavelet transform and Gabor Filter. Obtained results show t... | A Comparative study of Arabic handwritten characters invariant feature | 3,648 |
We present an efficient and accurate algorithm for principal component analysis (PCA) of a large set of two dimensional images, and, for each image, the set of its uniform rotations in the plane and its reflection. The algorithm starts by expanding each image, originally given on a Cartesian grid, in the Fourier-Bessel... | Fourier-Bessel rotational invariant eigenimages | 3,649 |
In this paper, we propose a novel architecture of wavelet network called Multi-input Multi-output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet network. This newel prototype was applied to speech recognition application especially to model acoustic unit of speech. The originality of our ... | Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic
Units for Speech Recognition | 3,650 |
Segmentation-based image coding methods provide high compression ratios when compared with traditional image coding approaches like the transform and sub band coding for low bit-rate compression applications. In this paper, a segmentation-based image coding method, namely the Binary Space Partition scheme, that divides... | Time Complexity Analysis of Binary Space Partitioning Scheme for Image
Compression | 3,651 |
In this paper, we propose a novel technique to reconstruct 3D surface of an underwater object using stereo images. Reconstructing the 3D surface of an underwater object is really a challenging task due to degraded quality of underwater images. There are various reason of quality degradation of underwater images i.e., n... | 3D Surface Reconstruction of Underwater Objects | 3,652 |
This paper describes a method to localise all those areas which may constitute the date field in an Indian handwritten document. Spatial patterns of the date field are studied from various handwritten documents and an algorithm is developed through statistical analysis to identify those sets of connected components whi... | Localisation of Numerical Date Field in an Indian Handwritten Document | 3,653 |
In this paper we propose a robust approach for text extraction and recognition from video clips which is called Neuro-Fuzzy system for Arabic Video OCR. In Arabic video text recognition, a number of noise components provide the text relatively more complicated to separate from the background. Further, the characters ca... | NF-SAVO: Neuro-Fuzzy system for Arabic Video OCR | 3,654 |
Edge detection is one of the most critical tasks in automatic image analysis. There exists no universal edge detection method which works well under all conditions. This paper shows the new approach based on the one of the most efficient techniques for edge detection, which is entropy-based thresholding. The main advan... | A New Algorithm Based Entropic Threshold for Edge Detection in Images | 3,655 |
Edge detection is an important field in image processing. Edges characterize object boundaries and are therefore useful for segmentation, registration, feature extraction, and identification of objects in a scene. In this paper, an approach utilizing an improvement of Baljit and Amar method which uses Shannon entropy o... | New Edge Detection Technique based on the Shannon Entropy in Gray Level
Images | 3,656 |
Large high-dimensional datasets are becoming more and more popular in an increasing number of research areas. Processing the high dimensional data incurs a high computational cost and is inherently inefficient since many of the values that describe a data object are redundant due to noise and inner correlations. Conseq... | Multi-Sensor Fusion via Reduction of Dimensionality | 3,657 |
We present a method for recognition of isolated Swedish Sign Language signs. The method will be used in a game intended to help children training signing at home, as a complement to training with a teacher. The target group is not primarily deaf children, but children with language disorders. Using sign language as a s... | Visual Recognition of Isolated Swedish Sign Language Signs | 3,658 |
It was recently demonstrated in [Chaudhury et al.,Non-Local Euclidean Medians,2012] that the denoising performance of Non-Local Means (NLM) can be improved at large noise levels by replacing the mean by the robust Euclidean median. Numerical experiments on synthetic and natural images showed that the latter consistentl... | Non-Local Patch Regression: Robust Image Denoising in Patch Space | 3,659 |
In this article, we address the issue of recovering latent transparent layers from superimposition images. Here, we assume we have the estimated transformations and extracted gradients of latent layers. To rapidly recover high-quality image layers, we propose an Efficient Superimposition Recovering Algorithm (ESRA) by ... | Efficient Superimposition Recovering Algorithm | 3,660 |
Depth image based rendering techniques for multiview applications have been recently introduced for efficient view generation at arbitrary camera positions. Encoding rate control has thus to consider both texture and depth data. Due to different structures of depth and texture images and their different roles on the re... | Rate-Distortion Analysis of Multiview Coding in a DIBR Framework | 3,661 |
This paper addresses how to construct features for the problem of image correspondence, in particular, the paper addresses how to construct features so as to maintain the right level of invariance versus discriminability. We show that without additional prior knowledge of the 3D scene, the right tradeoff cannot be esta... | Matching Through Features and Features Through Matching | 3,662 |
Cobb angle, which is a measure of spinal curvature is the standard method for quantifying the magnitude of Scoliosis related to spinal deformity in orthopedics. Determining the Cobb angle through manual process is subject to human errors. In this work, we propose a methodology to measure the magnitude of Cobb angle, wh... | Cobb Angle Measurement of Scoliosis with Reduced Variability | 3,663 |
The problem of finding elliptical shapes in an image will be considered. We discuss the solution which uses cross-entropy clustering. The proposed method allows the search for ellipses with predefined sizes and position in the space. Moreover, it works well for search of ellipsoids in higher dimensions. | Detection of elliptical shapes via cross-entropy clustering | 3,664 |
Object Detection is the task of identifying the existence of an object class instance and locating it within an image. Difficulties in handling high intra-class variations constitute major obstacles to achieving high performance on standard benchmark datasets (scale, viewpoint, lighting conditions and orientation varia... | Viewpoint Invariant Object Detector | 3,665 |
Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machine, as the human express its feelings most of the time with hand expressions. Here a novel time efficient algorithm has been described for fi... | Fingertip Detection: A Fast Method with Natural Hand | 3,666 |
The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. In this paper, we proposed an image based preprocessing technique to enhance the quality of the underwater images. The proposed technique comprises a combination of four filters such as homomorphic filtering, wave... | An Image Based Technique for Enhancement of Underwater Images | 3,667 |
Image fusion is the process of integrating multiple images of the same scene into a single fused image to reduce uncertainty and minimizing redundancy while extracting all the useful information from the source images. Image fusion process is required for different applications like medical imaging, remote sensing, med... | Comparison of Fuzzy and Neuro Fuzzy Image Fusion Techniques and its
Applications | 3,668 |
Chi-square histogram distance is one of the distance measures that can be used to find dissimilarity between two histograms. Motivated by the fact that texture discrimination by human vision system is based on second-order statistics, we make use of histogram of gray-level co-occurrence matrix (GLCM) that is based on s... | GLCM-based chi-square histogram distance for automatic detection of
defects on patterned textures | 3,669 |
We introduce UCF101 which is currently the largest dataset of human actions. It consists of 101 action classes, over 13k clips and 27 hours of video data. The database consists of realistic user uploaded videos containing camera motion and cluttered background. Additionally, we provide baseline action recognition resul... | UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild | 3,670 |
Schlieren deflectometry aims at characterizing the deflections undergone by refracted incident light rays at any surface point of a transparent object. For smooth surfaces, each surface location is actually associated with a sparse deflection map (or spectrum). This paper presents a novel method to compressively acquir... | Compressive Schlieren Deflectometry | 3,671 |
Mixed pixels are presented in hyperspectral images due to low spatial resolution of hyperspectral sensors. Spectral unmixing decomposes mixed pixels spectra into endmembers spectra and abundance fractions. In this paper using of robust statistics-based nonnegative matrix factorization (RNMF) for spectral unmixing of hy... | Unmixing of Hyperspectral Data Using Robust Statistics-based NMF | 3,672 |
Blind image deblurring algorithms have been improving steadily in the past years. Most state-of-the-art algorithms, however, still cannot perform perfectly in challenging cases, especially in large blur setting. In this paper, we focus on how to estimate a good kernel estimate from a single blurred image based on the i... | Kernel Estimation from Salient Structure for Robust Motion Deblurring | 3,673 |
In this paper, we propose a machine vision algorithm for automatically detecting defects in textures belonging to 16 out of 17 wallpaper groups using texture-periodicity and a family of Gabor wavelets. Input defective images are subjected to Gabor wavelet transformation in multi-scales and multi-orientations and a resu... | Automatic Detection of Texture Defects Using Texture-Periodicity and
Gabor Wavelets | 3,674 |
With the development of connected filters for the last decade, many algorithms have been proposed to compute the max-tree. Max-tree allows to compute the most advanced connected operators in a simple way. However, no fair comparison of algorithms has been proposed yet and the choice of an algorithm over an other depend... | A fair comparison of many max-tree computation algorithms (Extended
version of the paper submitted to ISMM 2013 | 3,675 |
We investigate efficient algorithmic realisations for robust deconvolution of grey-value images with known space-invariant point-spread function, with emphasis on 1D motion blur scenarios. The goal is to make deconvolution suitable as preprocessing step in automated image processing environments with tight time constra... | Fast and Robust Linear Motion Deblurring | 3,676 |
We introduce algorithms to visualize feature spaces used by object detectors. The tools in this paper allow a human to put on `HOG goggles' and perceive the visual world as a HOG based object detector sees it. We found that these visualizations allow us to analyze object detection systems in new ways and gain new insig... | Inverting and Visualizing Features for Object Detection | 3,677 |
We present a novel framework for learning morphological operators using counter-harmonic mean. It combines concepts from morphology and convolutional neural networks. A thorough experimental validation analyzes basic morphological operators dilation and erosion, opening and closing, as well as the much more complex top... | A Learning Framework for Morphological Operators using Counter-Harmonic
Mean | 3,678 |
Skin colour detection is frequently been used for searching people, face detection, pornographic filtering and hand tracking. The presence of skin or non-skin in digital image can be determined by manipulating pixels colour or pixels texture. The main problem in skin colour detection is to represent the skin colour dis... | Enhanced skin colour classifier using RGB Ratio model | 3,679 |
Although there has been significant progress in the past decade,tracking is still a very challenging computer vision task, due to problems such as occlusion and model drift.Recently, the increased popularity of depth sensors e.g. Microsoft Kinect has made it easy to obtain depth data at low cost.This may be a game chan... | Tracking Revisited using RGBD Camera: Baseline and Benchmark | 3,680 |
In this study, we present pituitary adenoma volumetry using the free and open source medical image computing platform for biomedical research: (3D) Slicer. Volumetric changes in cerebral pathologies like pituitary adenomas are a critical factor in treatment decisions by physicians and in general the volume is acquired ... | Pituitary Adenoma Volumetry with 3D Slicer | 3,681 |
We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background image is common to all observed images but undergoes geometric transformations, as... | Robust image reconstruction from multi-view measurements | 3,682 |
The most median-based de noising methods works fine for restoring the images corrupted by Randomn Valued Impulse Noise with low noise level but very poor with highly corrupted images. In this paper a directional weighted minimum deviation (DWMD) based filter has been proposed for removal of high random valued impulse n... | A Novel Directional Weighted Minimum Deviation (DWMD) Based Filter for
Removal of Random Valued Impulse Noise | 3,683 |
This paper presents a method for retinal vasculature extraction based on biologically inspired multi-orientation analysis. We apply multi-orientation analysis via so-called invertible orientation scores, modeling the cortical columns in the visual system of higher mammals. This allows us to generically deal with many h... | A Multi-Orientation Analysis Approach to Retinal Vessel Tracking | 3,684 |
We present a method for visual object classification using only a single feature, transformed color SIFT with a variant of Spatial Pyramid Matching (SPM) that we called Sliding Spatial Pyramid Matching (SSPM), trained with an ensemble of linear regression (provided by LINEAR) to obtained state of the art result on Calt... | Visual Objects Classification with Sliding Spatial Pyramid Matching | 3,685 |
In this project, we first study the Gaussian-based hidden Markov random field (HMRF) model and its expectation-maximization (EM) algorithm. Then we generalize it to Gaussian mixture model-based hidden Markov random field. The algorithm is implemented in MATLAB. We also apply this algorithm to color image segmentation p... | GMM-Based Hidden Markov Random Field for Color Image and 3D Volume
Segmentation | 3,686 |
In this paper, we identify some of the limitations of current-day shape matching techniques. We provide examples of how contour-based shape matching techniques cannot provide a good match for certain visually similar shapes. To overcome this limitation, we propose a perceptually motivated variant of the well-known shap... | Perceptually Motivated Shape Context Which Uses Shape Interiors | 3,687 |
In this paper, we described and developed a framework for Multilayer Perceptron (MLP) to work on low level image processing, where MLP will be used to perform image super-resolution. Meanwhile, MLP are trained with different types of images from various categories, hence analyse the behaviour and performance of the neu... | On the Adaptability of Neural Network Image Super-Resolution | 3,688 |
This paper addresses the high precision measurement of the distortion of a digital camera from photographs. Traditionally, this distortion is measured from photographs of a flat pattern which contains aligned elements. Nevertheless, it is nearly impossible to fabricate a very flat pattern and to validate its flatness. ... | High-precision camera distortion measurements with a "calibration harp" | 3,689 |
This paper proposes a novel framework for multi-group shape analysis relying on a hierarchical graphical statistical model on shapes within a population.The framework represents individual shapes as point setsmodulo translation, rotation, and scale, following the notion in Kendall shape space.While individual shapes ar... | Hierarchical Graphical Models for Multigroup Shape Analysis using
Expectation Maximization with Sampling in Kendall's Shape Space | 3,690 |
Learning Mahanalobis distance metrics in a high- dimensional feature space is very difficult especially when structural sparsity and low rank are enforced to improve com- putational efficiency in testing phase. This paper addresses both aspects by an ensemble metric learning approach that consists of sparse block diago... | Large Scale Strongly Supervised Ensemble Metric Learning, with
Applications to Face Verification and Retrieval | 3,691 |
Indeed, these are exciting times. We are in the heart of a digital renaissance. Automation and computer technology allow engineers and scientists to fabricate processes that amalgamate quality of life. We anticipate much growth in medical image interpretation and understanding, due to the influx of computer technologie... | On Automation and Medical Image Interpretation, With Applications for
Laryngeal Imaging | 3,692 |
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... | A Semi-automated Statistical Algorithm for Object Separation | 3,693 |
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... | Classifier Fusion Method to Recognize Handwritten Kannada Numerals | 3,694 |
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 ... | A Self-Organizing Neural Scheme for Door Detection in Different
Environments | 3,695 |
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... | Adaptive Foreground and Shadow Detection inImage Sequences | 3,696 |
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... | Stratified SIFT Matching for Human Iris Recognition | 3,697 |
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... | PaFiMoCS: Particle Filtered Modified-CS and Applications in Visual
Tracking across Illumination Change | 3,698 |
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... | A novel processing pipeline for optical multi-touch surfaces | 3,699 |
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