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Computer Vision

Most popular at the top

  • Bézier and Splines in Image Processing and Machine Visionby Sambhunath Biswas; Brian C. Lovell

    Springer London 2007; US$ 129.00

    Digital image processing and machine vision have both grown considerably during the last few decades. Of the various techniques that have been so far developed, splines play a significant role in a number. This book, which will be essential reading for graduate researchers, deals with various image processing and machine vision problems efficiently... more...

  • Handbook of Philosophical Logicby Dov M. Gabbay; Franz Guenthner

    Springer 2010; US$ 259.00

    This title includes: Lambda Calculi: A Guide, Interpolation and Definability, and, Discourse Representation Theory. more...

  • Machine Visionby Wesley E. Snyder; Hairong Qi

    Cambridge University Press 2010; US$ 56.00

    A 2004 introduction to machine vision that includes many programming exercises. more...

  • Algorithms for Image Processing and Computer Visionby J. R. Parker

    Wiley 2010; US$ 95.00

    A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods... more...

  • Guide to Biometrics for Large-Scale Systemsby Julian Ashbourn

    Springer London 2011; US$ 89.99

    Presents a review of biometric technology and biometric systems, and the concept of identity management Discusses the legal, political and societal factors of biometric technology, in addition to user psychology and other human factors Provides chapter-ending review questions and discussion points more...

  • Stereo Scene Flow for 3D Motion Analysisby Andreas Wedel; Daniel Cremers

    Springer London 2011; US$ 99.00

    Describes the computation of precise and accurate optical flow, and scene flow, in real-time applications Reviews the major advances in motion estimation and motion analysis, and the latest progress of dense optical flow algorithms Includes pseudo code for all important computational challenges, and contains a Glossary more...

  • Handbook of Face Recognitionby Stan Z. Li; Anil Jain

    Springer London 2011; US$ 99.00

    Fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems Provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications Describes... more...

  • ADVANCED TOPICS IN BIOMETRICSby Haizhou Li; Liyuan Li; Kar-Ann Toh

    World Scientific Publishing Company 2011; US$ 200.00

    Biometrics is the study of methods for uniquely recognizing humans based on one or more intrinsic physical or behavioral traits. After decades of research activities, biometrics, as a recognized scientific discipline, has advanced considerably both in practical technology and theoretical discovery to meet the increasing need of biometric deployments.... more...

  • EMERGING TOPICS IN COMPUTER VISION AND ITS APPLICATIONSby C.H. Chen

    World Scientific Publishing Company 2011; US$ 205.00

    This book gives a comprehensive overview of the most advanced theories, methodologies and applications in computer vision. Particularly, it gives an extensive coverage of 3D and robotic vision problems. Example chapters featured are Fourier methods for 3D surface modeling and analysis, use of constraints for calibration-free 3D Euclidean reconstruction,... more...

  • Face Detection and Adaptationby Cha Zhang; Zhengyou Zhang

    Morgan & Claypool Publishers 2010; US$ 40.00

    Face detection, because of its vast array of applications, is one of the most active research areas in computer vision. In this book, we review various approaches to face detection developed in the past decade, with more emphasis on boosting-based learning algorithms. We then present a series of algorithms that are empowered by the statistical view... more...