Range-data analysis guided by a junction dictionary

作者: Kokichi Sugihara

DOI: 10.1016/0004-3702(79)90004-3

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摘要: A knowledge-guided system for the analysis of range data about three-dimensional scenes with planar and/or curved objects is presented. Inputs to are originated real scenes, and outputs concise descriptions (i.e., organized structures vertices, edges faces) objects, which useful object identification machine manipulation. "junction dictionary" constructed represent general knowledge physical nature world, uses dictionary feature extraction organization. At each step consults predict positions, orientations types missing edges. Those predictions enable decide where what kind search as well how organize extracted features into a reasonable description. Experiments show satisfactory performance.

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