u003cpu003eComputer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject.u003c/pu003e u003cpu003eSee an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/u003c/pu003e u003cbru003eu003cbru003eu003culu003eu003cliu003eThree new chapters on u003cbu003eMachine Learningu003c/bu003e emphasise the way the subject has been developing; Two chapters cover u003cbu003eBasic Classification Conceptsu003c/bu003e and u003cbu003eProbabilistic Models; and the u003c/bu003eThe third covers the principles of u003cbu003eDeep Learning Networksu003c/bu003e and shows their impact on computer vision, reflected in a new chapter u003cbu003eFace Detection and Recognitionu003c/bu003e.u003c/liu003eu003cliu003eA new chapter on u003cbu003eObject Segmentation and Shape Modelsu003c/bu003e reflects the methodology of machine learning and gives practical demonstrations of its application.u003c/liu003eu003cliu003eIn-depth discussions have been included on geometric transformations, the EM algorithm, boosting, semantic segmentation, face frontalisation, RNNs and other key topics.u003c/liu003eu003cliu003eExamples and applications-including the location of biscuits, foreign bodies, faces, eyes, road lanes, surveillance, vehicles and pedestrians-give the 'ins and outs' of developing real-world vision systems, showing the realities of practical implementation.u003c/liu003eu003cliu003eNecessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples.u003c/liu003eu003cliu003eThe 'recent developments' sections included in each chapter aim to bring students and practitioners up to date with this fast-moving subject.u003c/liu003eu003cliu003eTailored programming examples-code, methods, illustrations, tasks, hints and solutions (mainly involving MATLAB and C++)u003c/liu003eu003c/ulu003e
