TY - BOOK ID - 48303904 TI - RGB-D Image Analysis and Processing AU - Rosin, Paul L. AU - Lai, Yu-Kun. AU - Shao, Ling. AU - Liu, Yonghuai. PY - 2019 SN - 3030286037 3030286029 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Image analysis. KW - Image processing. KW - Pictorial data processing KW - Picture processing KW - Processing, Image KW - Imaging systems KW - Optical data processing KW - Analysis of images KW - Image interpretation KW - Photographs KW - Forensic sciences KW - Inspection KW - Optical data processing. KW - User interfaces (Computer systems). KW - Artificial intelligence. KW - Image Processing and Computer Vision. KW - User Interfaces and Human Computer Interaction. 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 - Interfaces, User (Computer systems) KW - Human-machine systems KW - Human-computer interaction KW - Optical computing KW - Visual data processing KW - Integrated optics KW - Photonics KW - Computers KW - Optical equipment UR - https://www.unicat.be/uniCat?func=search&query=sysid:48303904 AB - This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects. ER -