TY - BOOK ID - 8503138 TI - Large-Scale Visual Geo-Localization AU - Zamir, Amir R. AU - Hakeem, Asaad. AU - Van Gool, Luc. AU - Shah, Mubarak. AU - Szeliski, Richard. PY - 2016 SN - 331925779X 3319257811 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer science. KW - Artificial intelligence. KW - Image processing. KW - Pattern recognition. KW - Geographical information systems. KW - Computer Science. KW - Image Processing and Computer Vision. KW - Artificial Intelligence (incl. Robotics). KW - Geographical Information Systems/Cartography. KW - Pattern Recognition. KW - Geospatial data. KW - Geographic information systems. KW - Geographical information systems KW - GIS (Information systems) KW - Data, Geospatial KW - Geographic information systems KW - Information storage and retrieval systems KW - Geography KW - Computer vision. KW - Optical pattern recognition. KW - Artificial Intelligence. KW - Optical data processing KW - Pattern perception KW - Perceptrons KW - Visual discrimination 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 - Optical data processing. KW - Design perception KW - Pattern recognition KW - Form perception KW - Perception KW - Figure-ground perception 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:8503138 AB - This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: Discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales Investigates geo-localization techniques that are built upon high-level and semantic cues Describes methods that perform precise localization by geometrically aligning the query image against a 3D model Reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings Presents contributions from the leading and most active researchers in the field from both academia and industry This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field. ER -