Robust 2-D Model-Based Object Recognition
Techniques, suitable for parallel implementation, for robust 2D model-based object recognition in the presence of sensor error are studied. Models and scene data are represented as local geometric features and robust hypothesis of feature matchings and transformations is considered. Bounds on...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6823 |