TY - BOOK ID - 2619013 TI - Efficient visual recognition using the Hausdorff distance PY - 1996 VL - 1173 SN - 3540619933 3540495878 PB - Berlin [etc.] : Springer-Verlag, DB - UniCat KW - Computer vision KW - Computervisie KW - Hausdorff [Mesures de ] KW - Hausdorff [Metingen van ] KW - Hausdorff measures KW - Mesures de Hausdorff KW - Metingen van Hausdorff KW - Optical pattern recognition KW - Optische patroonherkenning KW - Reconnaissance optique des données KW - Vision par ordinateur KW - Optical pattern recognition. KW - Artificial intelligence. KW - Computer vision. KW - Pattern Recognition. KW - Artificial Intelligence. KW - Image Processing and Computer Vision. KW - Machine vision KW - Vision, Computer KW - Artificial intelligence KW - Image processing KW - Pattern recognition systems 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 - Optical data processing KW - Pattern perception KW - Perceptrons KW - Visual discrimination UR - https://www.unicat.be/uniCat?func=search&query=sysid:2619013 AB - This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition. ER -