This book constitutes the refereed proceedings of the 8th International conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 85 revised full papers presented were carefully revie...
ISBN:
(数字)9783642315763
ISBN:
(纸本)9783642315756
This book constitutes the refereed proceedings of the 8th International conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 85 revised full papers presented were carefully reviewed and selected from 753 submissions. The papers are organized in topical sections on neural networks, evolutionar learning and genetic algorithms, granular computing and rough sets, biology inspired computing and optimization, nature inspired computing and optimization, cognitive science and computational neuroscience, knowledge discovery and data mining, quantum computing, machine learning theory and methods, healthcare informatics theory and methods, biomedical informatics theory and methods, complex systems theory and methods, intelligent computing in signal processing, intelligent computing in imageprocessing, intelligent computing in robotics, intelligent computing in computervision, intelligent agent and web applications, special session on advances in information security 2012.
This paper presents a novel parameterized variety based architecture for interactive 3DTV and Free viewpoint TV (FTV) applications. The proposed signal representation scheme allows to render free viewpoint images, tak...
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ISBN:
(纸本)9781467322164
This paper presents a novel parameterized variety based architecture for interactive 3DTV and Free viewpoint TV (FTV) applications. The proposed signal representation scheme allows to render free viewpoint images, taking only few sample images of the scene acquired by arbitrary, uncalibrated cameras. We extend the Parameterized image Variety approach for rendering proposed earlier by Genc and Ponce [1] to handle full perspective cameras. A fast and efficient algebraic framework is proposed for the parameterized representation of 3D scene, in terms of image pixel positions corresponding to only three reference scene points. The key aspects of the novel FTV architecture based on this variety model are i) interactive stereoscopic view synthesis from arbitrary viewpoint ii) intuitive interface for content based virtual view specification iii) facilitation to add special effects like 3D scene augmentation.
Font can be used as a notion of similarity amongst multiple documents written in same script. We could automatically retrieve document images with specific font from a huge digital document repository. So Optical Font...
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ISBN:
(纸本)9781467322164
Font can be used as a notion of similarity amongst multiple documents written in same script. We could automatically retrieve document images with specific font from a huge digital document repository. So Optical Font Recognition could be a useful pre-processing step in an automated questioned document analysis system for sorting documents with similar fonts. We propose a scheme to identify 10 different fonts for an Indic script (Bangla). Curvature-based features are extracted from segmented characters and are fed to a Support Vector Machine (SVM) classifier. The classifier determines the font type for each segmented character obtained from a document. Later, font identification for that document is executed on the basis of majority voting amongst 10 different fonts for all characters. Using a Multiple Kernel SVM classifier we obtained 98.5% accuracy from 400 test documents (40 documents for each font type).
We present a novel dance posture based annotation model by combining features using Multiple Kernel Learning (MKL). We have proposed a novel feature representation which represents the local texture properties of the ...
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Efficient location of fruits in the trees is the most important criterion of an automatic robotic harvesting system. The main challenges faced in the development of the robotic harvesting arm are accurate identificati...
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A nonlinear weighted averaging filter called bilateral filter depends mainly on two parameters. The spatial distance indicates the size, and the intensity distance indicates the contrast of the features to be preserve...
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This paper proposes a method for personal identification based on iris recognition. The iris segmentation is obtained by using an integro-differential operation. The segmented iris is then normalised and actually a sm...
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Local Binary Pattern (LBP) has been the successful feature descriptor used for face recognition. The basic idea in this method is to convert from an intensity space to an order space where the order of neighboring pix...
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In this paper, we propose a fuzzy rule based method for extensive segmentation of documents, with the view of labeling various components like page header, title, figure and tables, column divider, text etc. The fuzzy...
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Digital inpainting is the technique of filling in the missing regions of an image using information from the surrounding area in a visually indistinguishable way. In this paper, we try to improve the Exemplar based me...
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