Real-time Object Recognition in Sparse Range Images Using Error Surface Embedding

In this work we address the problem of object recognition and localization from sparse range data. The method is based upon comparing the 7-D error surfaces of objects in various poses, which result from the registration error function between two convolved surfaces. The objects and their pose value...

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Bibliographic Details
Main Author: Shang, LIMIN
Other Authors: Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))
Format: Others
Language:en
en
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/1974/5399

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