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MAPS: Midline analysis and propagation of segmentation 12

MAPS: Midline analysis and propagation of segmentation

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Kumar, Deepak Prasad, M. N. Anil Ramakrishnan, A.G. MILE Laboratory Dept. of EE Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

Scenic word images undergo degradations due to motion blur, uneven illumination, shadows and defocussing, which lead to difficulty in segmentation. As a result, the recognition results reported on the scenic word image datasets of ICDAR have been low. We introduce a novel technique, where we choose the middle row of the image as a sub-image and segment it first. Then, the labels from this segmented sub-image are used to propagate labels to other pixels in the image. This approach, which is unique and distinct from the existing methods, results in improved segmentation. Bayesian classification and Max-flow methods have been independently used for label propagation. This midline based approach limits the impact of degradations that happens to the image. The segmented text image is recognized using the trial version of Omnipage OCR. We have tested our method on ICDAR 2003 and ICDAR 2011 datasets. Our word recognition results of 64.5% and 71.6% are better than those of methods in the literature and also methods that competed in the Robust reading competition. Our method makes an implicit assumption that degradation is not present in the middle row. © 2012 ACM.

关键词： Classification (of information)

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Recognizing facial expressions using a novel shape motion descriptor 12

Recognizing facial expressions using a novel shape motion de...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Agarwal, Swapna Chatterjee, Moitreya Mukherjee, Dipti Prasad Indian Statistical Institute 203 B. T. Road Kolkata 700108 India

ISBN: (纸本)9781450316606

A novel graph theoretic approach is proposed for recognizing each of the six basic prototypic human emotional facial expressions from a video sequence. The feature used, called a Shape-Motion-Descriptor (SMD), is based on orientation-quantized gradient-weighted optical flow in a hierarchical manner. The basis of the SMD is learned using a codebook learning technique. Inter-relations between SMDs are represented through a graph. A novel definition of de-centrality measure of graph connectivity is devised to make the initially large codebook, a compact one. Each video sequence is represented by an expression descriptor. The efficiency of the proposed expression descriptor is tested using different classifiers and the results are compared with the state-of-the-art methods in literature. Our result is at par or better than competing methods. © 2012 ACM.

关键词： Graph theory

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image recovery from partial wavelet coefficients via sparse representation 12

Image recovery from partial wavelet coefficients via sparse ...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Jacob, Georgin Jiji, C.V. Department of Electronics and Communication College of Engineering Trivandrum Trivandrum 695016 India

ISBN: (纸本)9781450316606

Loss of information in wavelet transform domain may occur while transmitting images represented in JPEG 2000. This produces artifacts like black holes, degraded edges and correlated damage patterns in received images. Recovering an image from its partial wavelet coefficients or filling the missing wavelet coefficients from the available coefficients is called wavelet inpainting. This problem is closely related to image inpainting but here inpainting is done in wavelet domain. Mathematically it is equivalent to solving a set of under determined system of equations having infinite number of solutions. In this paper, we propose an efficient algorithm that uses greedy Orthogonal Matching Pursuit (OMP) algorithm that solves the under determined problem by minimizing the l0 norm of the sparse Discrete Cosine Transform (DCT) representation of the image. The image is reconstructed by taking inverse DCT. We show that good quality reconstruction can be obtained even if 50 % of the randomly selected wavelet coefficients including the approximation coefficients are missing. The proposed method outperforms the gradient based and optimum transfer function based inpainting algorithms in terms of SNR. © 2012 ACM.

关键词： Discrete cosine transforms

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Finger knuckle print based authentication

Finger knuckle print based authentication

引用

2012 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2012

作者： Jain, Ankur Gupta, Richa Hanmandlu, Madasu Department of Computer Engineering Netaji Subhas Institute of Technology New Delhi 110078 India Electronics and Communication Engineering Department Netaji Subhas Institute of Technology New Delhi 110078 India Electrical Engineering Department Indian Institute of Technology New Delhi 110016 India

ISBN: (纸本)9781601322258

In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Pattern, which enhances the information as each pixel is represented as a binary LDP code. The Finger-Knuckle-Print is divided into smaller areas and LDP histograms are extracted from each block, which are used to graphically represent the information. The experimental results demonstrate the effectiveness of LDP achieving 97.67% classification accuracy for finger knuckle print based authentication.

关键词： Local binary pattern

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Distributed massive model rendering 12

Distributed massive model rendering

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Revanth, N.R. Narayanan, P.J. Center for Visual Information Technology International Institute of Information Technology Hyderabad 500032 India

ISBN: (纸本)9781450316606

graphics models are getting increasingly bulkier with detailed geometry, textures, normal maps, etc. There is a lot of interest to model and navigate through detailed models of large monuments. Many monuments of interest have both rich detail and large spatial extent. Rendering them for navigation on a single workstation is practically impossible, even given the power of today's CPUs and GPUs. Many models may not fit the GPU memory, the CPU memory, or even the secondary storage of the CPU. Distributed rendering using a cluster of workstations is the only way to navigate through such models. In this paper, we present a design of a distributed rendering system intended for massive models. Our design has a server that holds the skeleton of the whole model, namely, its scenegraph with actual geometry replaced by bounding boxes at all levels. The server divides the screen space among a number of clients and sends them a list of objects they need to render using a frustum culling step. The clients use 2 GPUs with one devoted to visibility culling and the other to rendering. Frustum culling at the server, visibility culling on one GPU, and rendering on the second GPU form the stages of our distributed rendering pipeline. We describe the design and implementation of our system and demonstrate the results of rendering relatively large models using different clusters of clients in this paper. © 2012 ACM.

关键词： graphics processing unit

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A DCT based reversible data embedding scheme for MPEG-4 video using HVS characteristics 12

A DCT based reversible data embedding scheme for MPEG-4 vide...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Gujjunoori, Sagar Amberker, B.B. Department of Computer Science and Engineering National Institute of Technology Warangal Andhra Pradesh India

ISBN: (纸本)9781450316606

Recently, many data embedding schemes using the quantized DCT coefficients have been proposed for achieving the robustness. However, most of the schemes lack to strike a trade off between the embedding capacity and the visual quality. Achieving more embedding capacity by maintaining the visual quality has become a challenging task. Most of the DCT based data embedding schemes result in various visual distortions for not considering the HVS characteristics while embedding. The widely used visual quality measure PSNR is not sufficient to assess the quality of the distorted image/video content. However, the HVS based visual quality metrics PSNR-HVS and PSNR-HVS-M are very much suitable when the data is embedded in the DCT domain. We propose a reversible data embedding scheme which embed the data during the process of MPEG-4 compression of video. Experimental results show that the proposed scheme achieves higher embedding capacity and better visual quality in terms of HVS based metrics. © 2012 ACM.

关键词： Motion Picture Experts Group standards

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Novel color Gabor-LBP-PHOG (GLP) descriptors for object and scene image classification 12

Novel color Gabor-LBP-PHOG (GLP) descriptors for object and ...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Sinha, Atreyee Banerji, Sugata Liu, Chengjun Department of Computer Science New Jersey Institute of Technology Newark NJ 07102 United States

ISBN: (纸本)9781450316606

This paper presents a novel set of color descriptors for object and scene image classification. We first introduce a new Gabor-PHOG (GPHOG) descriptor by concatenating the Pyramid of Histograms of Oriented Gradients (PHOG) of the local Gabor filtered images. Second, we derive the Gabor-LBP (GLBP) descriptor by accumulating the Local Binary Patterns (LBP) histograms of all the component images produced by applying Gabor filters. Then, by combining the GPHOG and the GLBP descriptors using an optimal feature representation method, we propose a novel Gabor-LBP-PHOG (GLP) image descriptor which performs well on different image categories. Next, we make a comparative assessment of the classification performance of the GLP descriptor in six different color spaces. Finally, we present a novel Fused Color GLP (FC-GLP) feature by integrating the PCA features of the six color GLP descriptors. The Principal Component Analysis (PCA) and the Enhanced Fisher Model (EFM) are applied for feature extraction and the nearest neighbor classification rule is used for classification. The effectiveness of the proposed GLP and FC-GLP feature vectors for image classification is evaluated using three grand challenge datasets, namely the Caltech 256 dataset, the MIT Scene dataset and the UIUC Sports Event dataset. © 2012 ACM.

关键词： Color

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Improved quadric surface impostors for large bio-molecular visualization 12

Improved quadric surface impostors for large bio-molecular v...

引用

8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Bagur, Pranav D. Shivashankar, Nithin Natarajan, Vijay Department of Information Technology National Institute of Technology Karnataka Surathkal India Computer Science and Automation Indian Institute of Science Bangalore India Computer Science and Automation Supercomputer Education and Research Center Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

The shape of biomolecules, such as proteins, may be represented using different representations like space-fill, ballstick, backbone, or secondary structures. The secondary structure of proteins, comprising of sheet-like, helix-like and loops structures, represent a higher level abstraction of its structure. With ever increasing sizes of protein structure data produced by high resolution x-ray crystallography and cryo-electron microscopy, biologists often rely on visualizations to better understand the overall structure of proteins. In this paper, we present a unified framework for accelerating the rendering of various representations of these structure using GPUs. The framework first produces "impostor primitives", which are simple linear element approximations of quadric objects, such as spheres, cylinders, and helices. Next, the rasterizations of the impostors are corrected to produce pixel-precise renderings of the quadric objects. We incorporate this framework into a bio-molecular visualization tool proteinvis to demonstrate quantitative and qualitative performance gains over earlier approaches for rendering various representations of proteins. © 2012 ACM.

关键词： Proteins

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Directionlet-based PURE-LET for poisson image denoising

Directionlet-based PURE-LET for poisson image denoising

引用

2012 International conference on image processing, computer vision, and Pattern Recognition, IPCV 2012

作者： Palakkal, Sandeep Prabhu, K.M.M. Department of Electrical Engineering Indian Institute of Technology Madras Chennai-36 India

ISBN: (纸本)9781601322258

In certain imaging applications, the captured images are corrupted by Poisson noise. For such images, Poisson unbiased risk estimate (PURE) has been proposed as an unbiased estimator of the mean square error between the original and estimated images. By minimizing PURE, noise can be reduced. PURE was originally defined in the Haar wavelet domain. Since the wavelet functions are isotropic in every scale and have limited directional capabilities, the denoising performance obtained by minimizing PURE is poor around the discontinuities in the images. To overcome these limitations, we extend PURE to the Haar directionlet domain. We show by simulations that minimizing PURE in the directionlet domain results in better denoising per-formance when compared to minimizing it in the wavelet domain.

关键词： Mean square error

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FaSTIP: A new method for detection and description of space-time interest points for human activity classification 12

FaSTIP: A new method for detection and description of space-...

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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012

作者： Samanta, Soumitra Chanda, Bhabatosh Indian Statistical Institute Ellectronics and Communications Sciences Unit 203 B. T. Road Kolkata - 700108 India

ISBN: (纸本)9781450316606

This paper presents a new method to detect space time interest point (STIP) from video data. We use three dimensional facet model to detect STIP and call it as facet space-time interest point or FaSTIP. The proposed algorithm detects all the desired interest points efficiently in different scales compared to other existing methods. A video clip is described as a collection of 3D wavelet base features computed at these interest points. Finally, multi-channel SVM with χ2- kernel is used to classify human actions. Our contribution here are two fold: first, we present a new algorithm for interest point detection in video data, and second, we propose a new descriptor for general human activity classification. Experimental results show the accuracy of the detected interest points and the power of descriptor compared to the state-of-the-art. © 2012 ACM.

关键词： Video recording

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