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检索条件"任意字段=Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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Synthesis of emotional expressions specific to facial structure 12

Synthesis of emotional expressions specific to facial struct...

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

Imposing expressions on expression-neutral human face images is an interesting application of human-computer-interaction, animation, entertainment and other such fields. The objective of this paper is to impose one of the six prototypic emotional expressions i.e., Joy, Surprise, Disgust, Fear, Anger and Sorrow to a given expression-neutral face image. For this, we first establish individual models for each of the six prototypic expressions. This model is independent of the shape and texture i.e., identity of the subjects in the training video sequences. Given an intensity of a particular expression, we find the changes in the shape and texture due to a particular expression from the derived models. These changes are added to the automatically annotated test image on which the expression is to be imposed. The major contributions of the paper are: (1) Developing a method for finding facial structure specific changes of a subject for imposing a particular expression and (2) Establishing a nonlinear relationship between the expression intensity and the corresponding facial changes. The experimental results show that the proposed method is better compared to another related method. The proposal is also good at preserving the identity of the subject while imposing a given expression on the expression-neutral face image. © 2012 ACM.

关键词： Human computer interaction

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Neti Neti: In search of deity 12

Neti Neti: In search of deity

引用

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

作者： Verma, Yashaswi Jawahar, C.V. Center for Visual Information Technology IIIT-Hyderabad 500032 India

ISBN: (纸本)9781450316606

A wide category of objects and scenes can be effectively searched and classified using the modern descriptors and classifiers. With the performance on many popular categories becoming satisfactory, we explore into the issues associated with much harder recognition problems. We address the problem of searching specific images in indian stone-carvings and sculptures in an unsupervised setup. For this, we introduce a new dataset of 524 images containing sculptures and carvings of eight different indian deities and three other subjects popular in the indian scenario. We perform a thorough analysis to investigate various challenges associated with this task. A new image-representation is proposed using a sequence of discriminative patches mined in an unsupervised manner. For each image, these patches are identified based on their ability to distinguish the given image from the image most dissimilar to it. Then a rejection-based re-ranking scheme is formulated based on both similarity as well as dissimilarity between two images. This new scheme is experimentally compared with two baselines using state-of-the-art descriptors on the proposed dataset. Empirical evaluations demonstrate that our proposed method of image-representation and rejection cascade improves the retrieval performance on this hard problem as compared to the baseline descriptors. © 2012 ACM.

关键词： image representation

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A grammar-based GUI for single view reconstruction 12

A grammar-based GUI for single view reconstruction

引用

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

作者： Khurana, Dakshita Sankhla, Surabhi Shukla, Abhinav Varshney, Richa Kalra, Prem Banerjee, Subhashis Indian Institute of Technology Delhi Hauz Khas New Delhi India

ISBN: (纸本)9781450316606

This paper presents a novel grammar-based GUI with an integrated back-end engine that enables accurate single view reconstruction with minimum supplementary information from the user. Our grammar allows a dynamic symbolic capture of constraints, which can be solved together in the end to eliminate incremental errors. This approach focuses on the simultaneous reconstruction of connected faces minimizing least square error, as opposed to a piece-wise approach where error keeps building up at every stage. We demonstrate how our Graphical User Interface is usable even by a layman to generate 3D models with negligible error. © 2012 ACM.

关键词： Graphical user interfaces

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Document image binarization using wavelets for OCR applications 12

Document image binarization using wavelets for OCR applicati...

引用

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

作者： Patvardhan, C. Verma, A.K. Lakshmi, C. Vasantha Electrical Engineering Deptt. Dayalbagh Educational Institute Dayalbagh Agra India Physics and Comp. Sci. Deptt. Dayalbagh Educational Institute Dayalbagh Agra India

ISBN: (纸本)9781450316606

In this paper, a new Wavelet Transform based scheme is proposed for the binarization of document images with complex background and non-uniform illumination. The proposed scheme is simple and effective and does not require manual tuning of any parameters. The binarization of document images is accomplished by background estimation. This is done using low frequency approximation coefficients of the wavelet transform of the image at appropriate decomposition level. The estimated background is utilized for final binarization. The input image binarized with global Otsu and wavelet treated image binarized with adaptive Otsu are used to obtain final binarized image of the document. The performance of proposed scheme is tested and compared to some well-known methods of document image binarization. The results demonstrate the superior performance and relative effectiveness of the proposed scheme on various images having complex as well as non-uniform illuminated backgrounds. © 2012 ACM.

关键词： Wavelet decomposition

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Fuzzy graph modeling for text segmentation from land map images 12

Fuzzy graph modeling for text segmentation from land map ima...

引用

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

作者： Biswas, Samit Das, Amit Kumar Department of Computer Science and Engineering Bengal Institute of Technology Kolkata India Department of Computer Science and Technology Bengal Engineering and Science University Shibpur Howrah India

ISBN: (纸本)9781450316606

Map image text segmentation has always been one of the difficult tasks because of its variety. The texts in a map may have the myriad background consists of various intensity values, different orientations, overlapping objects, intersected lines etc. Common problems for text extraction from map images are the lack of prior knowledge of text features such as color, font, size and orientation as well as the location of the probable text regions. Extracted texts can be used as an input to OCR for recognition. This paper presents an approach for text segmentation from map images using fuzzy graph analysis. Fuzzy graph is constructed from the map image. Fuzzy similarity value between two nodes within text region will be higher than other non-text regions. Seed points are selected through the fuzzy graph analysis. These seed points lie within texts in a map image. F*seed growing algorithm is used here for text localization. The originality of this work lies in the fuzzy graph construction from map image and selection of seed points. The proposed text segmentation approach is tested on a collected dataset of paper map images (containing texts in indian languages;like Bangla, Hindi etc.) and the results are encouraging. © 2012 ACM.

关键词： Fuzzy sets

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

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

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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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Table detection in document images using header and trailer patterns 12

Table detection in document images using header and trailer ...

引用

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

作者： Harit, Gaurav Bansal, Anukriti Indian Institute of Technology Jodhpur Rajasthan India

ISBN: (纸本)9781450316606

This paper presents a new approach to detect tabular structures present in document images and in low resolution video images. The algorithm for table detection is based on identifying the unique table start pattern and table trailer pattern. We have formulated perceptual attributes to characterize the patterns. The performance of our table detection system is tested on a set of document images picked from UW-III (University of Washington) dataset, UNLV dataset, video images of NPTEL videos, and our own dataset. Our approach demonstrates improved detection for different types of table layouts, with or without ruling lines. We have obtained correct table localization on pages with multiple tables aligned side-by-side. © 2012 ACM.

关键词： Light trailers

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

Tweening boundary curves of non-simple immersions of a disk

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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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