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Fast Detection of Polygons in 3D Point Clouds from Noise-Prone Range Sensors
N. Vaskevicius, A. Birk, K. Pathak, and J. Poppinga Safety, Security and Rescue Robotics, 2007. SSRR 2007. IEEE International Workshop on, page 1-6. (September 2007)
to 3D algorithm case clouds complexity computational data detection extraction fit fitting fitting3D geometry growing image incremental mobile noise-prone normals phbaer-ca plane point polygon polygons processing range reduction region rescue robot robotics robots safety security sensing sensors stereo surface vision worst by phbaer on Jul 28, 2009, 10:38 AM
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VIP -- A Framework-Based Approach to Robot Vision
Hans Utz, Ulrich Kaufmann, Gerd Mayer, and Gerhard K. Kraetzschmar Journal on Advanced Robotics, Special Issue on Software Development and Integration in Robotics 3(1):067--072 (March 2006)
to miro processing robot vip vision by phbaer on Aug 15, 2008, 11:48 AM
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