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- W2023890041 abstract "CAD-model based recognition and localization is one of the most important research areas where active vision principle can fully demonstrate its power and effectiveness. In this paper, we propose to use sparse range images to recognize and localize common mechanical parts that are isolated on the worktable. We emphasize the extraction of features that are suitable for the recognition and localization of objects and are easy to be detected by a light stripe range finder. Features of the mechanical parts are first carefully analyzed, which are then selected automatically from the corresponding CAD models. They are classified into two types according to types of the surfaces, that is, features for planar surfaces and features for curved surfaces, and are organized into a hierarchical feature base which is used for feature matching during the process of object recognition and localization. We explain our strategy in detail and show several experimental results of recognition and localization using a simulation system.© (1993) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W2023890041 date "1993-08-06" @default.
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- W2023890041 title "<title>Automatic selection of recognition-oriented features from CAD models</title>" @default.
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