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Tweening boundary curves of non-simple immersions of a disk 12

Tweening boundary curves of non-simple immersions of a disk

引用

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

作者： Mukherjee, Uddipan Gopi, M. Department of Computer Science University of California Irvine Irvine CA 92697-3435 United States

ISBN: (纸本)9781450316606

Tweening, also known as shape morphing, is an important concept in keyframe animation wherein an initial shape is transformed smoothly into a final shape. the huge body of existing literature in the areas of shape transformations and tweening in 2D is mostly restricted to transformations between simple non-self-intersecting polygonal shapes. In this paper we introduce a robust tweening algorithm which is capable of creating smooth transformations between non-simple polygonal shapes that are immersions of a disk. All the intermediate shapes generated by our algorithm are guaranteed to be disk immersions. We achieve this by calculating high quality triangulations, from given arbitrary triangulations, of the initial and final non-simple polygons and establishing a homeomorphism between the disks of the two immersions. If the triangulations of the source and target shapes are incompatible, we change the geometry as well as the triangulation smoothly during the morphing process. © 2012 ACM.

关键词： Triangulation

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Motion pattern-based image features for glaucoma detection from retinal images 12

Motion pattern-based image features for glaucoma detection f...

引用

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

作者： Deepak, K. Sai Jain, Madhulika Joshi, Gopal Datt Sivaswamy, Jayanthi CVIT IIIT Hyderabad Hyderabad India

ISBN: (纸本)9781450316606

Glaucoma is an eye disorder that causes irreversible loss of vision and is prevalent in the aging population. Glaucoma is indicated both by structural changes and presence of atrophy in retina. In retinal images, these appear in the form of subtle variation of local intensities. these variations are typically described using local shape based statistics which are prone to error. We propose an automated, global feature based approach to detect glaucoma from images. An image representation is devised to accentuate subtle indicators of the disease such that global image features can discriminate between normal and glaucoma cases effectively. the proposed method is demonstrated on a large image dataset annotated by 3 medical experts. the results show the method to be effective in detecting subtle glaucoma indicators. the classification performance on a dataset of 1186 color retinal images containing a mixture of normal, suspect and confirmed cases of glaucoma is 97 percent sensitivity at 87 percent specificity. this improves further when the suspect cases are removed from the abnormal cases. thus, the proposed method offers a good solution for glaucoma screening from retinal images. © 2012 ACM.

关键词： Feature extraction

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Feature match: An efficient low dimensional PatchMatch technique 12

Feature match: An efficient low dimensional PatchMatch techn...

引用

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

作者： Ramakanth, S. Avinash Babu, R. Venkatesh Video Analytics Lab. SERC Indian Institute of Science Bangalore India

ISBN: (纸本)9781450316606

Computing the dense Approximate Nearest-Neighbour Field (ANNF) between a pair of images has become a major problem which is being tackled by the image processing community in the recent years. Two important papers viz. PatchMatch [3] and CSH [11] have been developed over the past few years based on the coherency between images, but one major problem both these papers have is that image patches are treated as high dimensional vector features. In this paper we present a novel idea to reduce the dimensions of a p-by-p patch of color image to a set of low level features. this reduced dimension feature vector is used to compute the ANNF. Using these features we show that instead of dealing with image patches as p2 dimensional vectors, dealing with them in a lower dimension gives a much better approximation for the nearest-neighbour field as compared to the state of the art. We further present a modification which improves the ANNF to give more accurate color information and show that using our improved algorithm we do not need a pair of related images to compute the ANNF like in other algorithms, i.e. we can generate the ANNF for all the images using unrelated image pairs or even from a universal source image. © 2012 ACM.

关键词： Nearest neighbor search

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Matte based generation of land cover maps 12

Matte based generation of land cover maps

引用

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

作者： Bahirat, Kanchan Chaudhuri, Subhasis Dept. of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9781450316606

A novel supervised technique for the generation of spatially consistent land cover maps based on class-matting is presented in this paper. this method takes advantage of both standard supervised classification technique and natural image matting. It adaptively exploits the spatial contextual information contained in the neighborhood of each pixel through the use of image matting to reduce the incongruence inherent in pixel-wise, radiometric classification of multi-spectral remote sensing data, providing a more spatially homogeneous land-cover map besides yielding a better accuracy. In order to make image matting possible for N-class land cover map generation, we extend the basic alpha matting problem into N independent matting problems, each conforming to one particular class. the user input required for the alpha matting algorithm in terms of initially identifying a few sample regions belonging to a particular class (known as the foreground object in matting) is obtained automatically using the supervised ML classifier. Experimental results obtained on multispectral data sets confirm the effectiveness of the proposed system. © 2012 ACM.

关键词： Pixels

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GPU-based acceleration of symbol timing recovery

GPU-based acceleration of symbol timing recovery

引用

6th Annual conference on Design and Architectures for Signal and image processing, DASIP 2012

作者： Kim, Scott C. Plishker, William L. Bhattacharyya, Shuvra S. Cavallaro, Joseph R. Dept. of Electrical and Computer Engineering Institute for Advanced Computer Studies University of Maryland United States Dept. of Electrical and Computer Engineering Rice University United States

ISBN: (纸本)9782953998726

this paper presents a novel implementation of graphics processing unit (GPU) based symbol timing recovery using polyphase interpolators to detect symbol timing error. Symbol timing recovery is a compute intensive procedure that detects and corrects the timing error in a coherent receiver. We provide optimal sample-time timing recovery using a maximum likelihood (ML) estimator to minimize the timing error. this is an iterative and adaptive system that relies on feedback, therefore, we present an accelerated implementation design by using a GPU for timing error detection (TED), enabling fast error detection by exploiting the 2D filter structure found in the polyphase interpolator. We present this hybrid/heterogeneous CPU and GPU architecture by computing a low complexity and low noise matched filter (MF) while simultaneously performing TED. We then compare the performance of the CPU vs. GPU based timing recovery for different interpolation rates to minimize the error and improve the detection by up to a factor of 35. We further improve the process by utilizing GPU optimization and performing block processing to improve the throughput even more, all while maintaining the lowest possible sampling rate. © 2012 ECSI.

关键词： graphics processing unit

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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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Video after-effect rendering based on pipelining principle

Video after-effect rendering based on pipelining principle

引用

6th International conference on Internet Computing for Science and Engineering, ICICSE 2012

作者： Luo, Jiao Chen, Jianbang Han, Lu Li, Miao School of Computer and Information Science Southwest University Chongqing China

ISBN: (纸本)9780769547053

Currently, image processing is often calculation-intensive and inefficient. this paper proposes a pipeline-based real time video rendering solution to meet the needs of efficient video editing. In detail, video after-effects are displayed in the form of filter, which is managed by pipeline. It is able to achieve the effective management of processes and efficient data processing. the proposed method is implemented in Windows by combing the architecture of micro-kernel and the pipeline. In addition, an open source computer vision framework, Open CV, is used to improve the efficiency from the perspective of algorithm. © 2012 IEEE.

关键词： Pipelines

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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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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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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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