Feature Extraction and Image Processing for Computer Vision, Fourth Edition describes basic principles, theories and techniques used to design visual search and recognition engines. The book explores how visual features are extracted and quantized, how an indexing system is built, includes comparisons to alternative schemes, and presents cutting-edge techniques, like deep learning. From the feature end, users will find out how hash functions transfer high-dimensional feature descriptors into compact binary code. From the model end, the book discusses recent advances in compressing and accelerating large, deep learning models (like convolutional neural networks) to fit into mobile and robotic memory storage.
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Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.
Alberto Aguado is a principal programmer at Sportradar, where he works developing Image Processing and real-time multi-camera 3D tracking technologies for sport events. Previously, he worked as a technology programmer for Electronic Arts and for Black Rock Disney Game Studios. He worked as a Lecturer in the Centre for Vision, Speech and Signal Processing in the University of Surrey. He pursued a postdoctoral fellowship in Computer Vision at INRIA Rhône-Alpes and he received his PhD in Computer Vision /Image Processing from the University of Southampton.
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Condition: New. Idioma/Language: Inglés. Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms. " Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla. Seller Inventory # 19239979
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