TY - BOOK ID - 46172544 TI - Recent Advances in Computer Vision : Theories and Applications AU - Hassaballah, Mahmoud. AU - Hosny, Khalid M. PY - 2019 SN - 3030030008 3030029999 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Engineering. KW - Computer vision. KW - Artificial intelligence. KW - Computational Intelligence. KW - Computer Imaging, Vision, Pattern Recognition and Graphics. KW - Artificial Intelligence. KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Machine vision KW - Vision, Computer KW - Artificial intelligence KW - Image processing KW - Pattern recognition systems KW - Construction KW - Industrial arts KW - Technology KW - Computational intelligence. KW - Optical data processing. KW - Optical computing KW - Visual data processing KW - Integrated optics KW - Photonics KW - Computers KW - Intelligence, Computational KW - Soft computing KW - Optical equipment UR - https://www.unicat.be/uniCat?func=search&query=sysid:46172544 AB - This book presents a collection of high-quality research by leading experts in computer vision and its applications. Each of the 16 chapters can be read independently and discusses the principles of a specific topic, reviews up-to-date techniques, presents outcomes, and highlights the challenges and future directions. As such the book explores the latest trends in fashion creative processes, facial features detection, visual odometry, transfer learning, face recognition, feature description, plankton and scene classification, video face alignment, video searching, and object segmentation. It is intended for postgraduate students, researchers, scholars and developers who are interested in computer vision and connected research disciplines, and is also suitable for senior undergraduate students who are taking advanced courses in related topics. However, it is also provides a valuable reference resource for practitioners from industry who want to keep abreast of recent developments in this dynamic, exciting and profitable research field. ER -