Model-Based Recognition and Localization from Sparse Range or Tactile Data
This paper discusses how local measurements of three-dimensional positions and surface normals (recorded by a set of tactile sensors, or by three-dimensional range sensors), may be used to identify and locate objects, from among a set of known objects. The objects are modeled as polyhedra hav...
| Glavni autori: | , |
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| Jezik: | en_US |
| Izdano: |
2004
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| Online pristup: | http://hdl.handle.net/1721.1/6395 |