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Computer Vision

Most popular at the top

  • Advances in Oriental Document Analysis and Recognition Techniquesby Seong-Whan Lee; Yuan Y. Tang

    World Scientific Publishing Company 1999; US$ 132.00

    In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc. Advances in computer... more...

  • Computer Vision and Shape Recognitionby A. Krzyak

    World Scientific Publishing Company 1989; US$ 194.00

    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...

  • Let's do ITby Christa Weidner

    Springer 2013; US$ 39.99

    Wertvolles Potenzial der IT bleibt zu Lasten des ROI in vielen Unternehmen ungenutzt. Doch sicherlich ist die Tatsache, dass die strategisch wichtige Unterstützung für das Business sich nicht voll entfalten kann, noch viel höher zu bewerten, da Marktanteile verloren oder gar nicht erst gewonnen werden. Der vorgestellte Ansatz... more...

  • Concise Computer Visionby Reinhard Klette

    Springer 2014; US$ 59.99

    This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an... more...

  • Motion Deblurringby A. N. Rajagopalan; Rama Chellappa

    Cambridge University Press 2014; US$ 96.00

    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$ 48.00

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

  • Advances in Pattern Recognitionby Pinakpani Pal

    World Scientific Publishing Company 2006; US$ 255.00

    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$ 167.00

    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...

  • Pattern Recognitionby Sankar K. Pal; Amita Pal

    World Scientific Publishing Company 2001; US$ 187.00

    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$ 208.00

    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...