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Proceedings Paper

Composite filters for search time reduction for 3D-model-based object recognition
Author(s): Mahbuba Rahman; Abdul Ahad Sami Awwal; Karl S. Gudmundsson
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Paper Abstract

This paper investigates the role of composite filters in reducing the search time for 3D model based object recognition. When one moves from 2D to 3D, one is faced with a huge amount of information to deal with. The composite filter combined with a multistage scheme is developed for processing this huge information. The design scheme for the composite filters is also elaborated. The procedures discussed in this paper demonstrate how detection of these various model images might help formulate a new metric for recognition performance.

Paper Details

Date Published: 12 December 2003
PDF: 11 pages
Proc. SPIE 5201, Photonic Devices and Algorithms for Computing V, (12 December 2003); doi: 10.1117/12.508655
Show Author Affiliations
Mahbuba Rahman, Wright State Univ. (United States)
Abdul Ahad Sami Awwal, Lawrence Livermore National Lab. (United States)
Karl S. Gudmundsson, Wright State Univ. (United States)

Published in SPIE Proceedings Vol. 5201:
Photonic Devices and Algorithms for Computing V
Khan M. Iftekharuddin; Abdul Ahad S. Awwal, Editor(s)

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