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Computer Vision

Most popular at the top

  • Computer Vision and Shape Recognitionby A. Krzyak

    World Scientific Publishing Company 1989; US$ 119.00 US$ 108.29

    This is an up-to-date volume of selected and expanded papers originating from Vision Interface 88, a conference held in Edmonton, Canada. A broad range of topics are covered-from image processing to hardware design. They include robot vision, biomedical imaging, remote sensing and parallel processing, shape recognition and features, computational methods... more...

  • Markov Random Field Modeling in Computer Visionby S.Z. Li

    Springer Japan 2012; US$ 74.36

    Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optimal vision algorithms systematically based on sound principles. This book presents a comprehensive study on using MRFs to solve computer vision problems, covering the following parts essential... more...

  • Erzeugung und Analyse von Bildern und Strukturenby S. J. Pöppl; H. Platzer

    Springer Berlin Heidelberg 2013; US$ 17.85

    Der vorliegende Tagungsband enthalt die meisten Vortrage der gemeinsamen Tagung der Deutschen Gesellschaft fUr Angewandte Optik (DGaO) und der Deutschen Arbeits­ gemeinschaft fUr Musterkennung (DAr,M). Die Beziehungen der beiden Organisationen sind folgendermaBen: Wahrend die DGaO eine traditionsreiche wissenschaftliche Gesellschaft ist, stellt die... more...

  • Concise Computer Visionby Reinhard Klette

    Springer London 2014; US$ 42.49

    Addressing the need for a concise and accessible introduction to the complex field of computer vision, this text reinforces its presentation of the essential topics with class-tested exercises. The coverage includes an historical overview of the technology. more...

  • Motion Deblurringby A. N. Rajagopalan; Rama Chellappa

    Cambridge University Press 2014; US$ 115.00

    Comprehensive guide to the restoration of images degraded by motion blur, encompassing algorithms and architectures, with novel computational photography methods. more...

  • Understanding Machine Learningby Shai Shalev-Shwartz; Shai Ben-David

    Cambridge University Press 2014; US$ 52.00

    Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage. more...

  • Pattern Recognitionby Sankar K. Pal; Amita Pal

    World Scientific Publishing Company 2001; US$ 115.00 US$ 104.65

    This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic... more...

  • Pattern Recognition in Softcomputing Paradigmby Nikhil R. Pal

    World Scientific Publishing Company 2001; US$ 128.00 US$ 116.48

    Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature... more...

  • Advances in Pattern Recognitionby Pinakpani Pal

    World Scientific Publishing Company 2006; US$ 157.00 US$ 142.87

    This volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition. These conferences have already carved out a unique position among events attended by the pattern recognition community. The contributions tackle open problems in the classic fields of image and video processing, document... more...

  • Ictacs 2006by Bao T. Ho; Thuy T. B. Dong; Duc A. Duong; Thuc D. Nguyen

    World Scientific Publishing Company 2006; US$ 102.00 US$ 92.82

    This volume brings together many contributions from leading research scientists, engineers and practitioners in computer science. Selected by program committee members, the topics describe innovative research and new technologies in the following areas of interest: image processing, computer vision and pattern recognition; computational linguistics... more...