TY - BOOK ID - 7616592 TI - Image Feature Detectors and Descriptors : Foundations and Applications AU - Awad, Ali Ismail. AU - Hassaballah, Mahmoud. PY - 2016 SN - 3319288520 3319288547 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer Science KW - Engineering & Applied Sciences KW - Engineering. KW - Computer graphics. KW - Computational intelligence. KW - Computational Intelligence. KW - Computer Imaging, Vision, Pattern Recognition and Graphics. KW - Signal, Image and Speech Processing. KW - Intelligence, Computational KW - Artificial intelligence KW - Soft computing KW - Automatic drafting KW - Graphic data processing KW - Graphics, Computer KW - Computer art KW - Graphic arts KW - Electronic data processing KW - Engineering graphics KW - Image processing KW - Construction KW - Industrial arts KW - Technology KW - Digital techniques KW - Computer vision. KW - Machine vision KW - Vision, Computer KW - Pattern recognition systems KW - Image processing. KW - Optical data processing. KW - Optical computing KW - Visual data processing KW - Bionics KW - Integrated optics KW - Photonics KW - Computers KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - Optical equipment KW - Signal processing. KW - Speech processing systems. KW - Computational linguistics KW - Electronic systems KW - Information theory KW - Modulation theory KW - Oral communication KW - Speech KW - Telecommunication KW - Singing voice synthesizers KW - Processing, Signal KW - Information measurement KW - Signal theory (Telecommunication) UR - https://www.unicat.be/uniCat?func=search&query=sysid:7616592 AB - This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition. . ER -