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Proceedings Paper

Efficient system for 3-D object recognition
Author(s): Tarek M. Sobh; Tarek Khaled Alameldin
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Paper Abstract

This paper presents an efficient system for recovering the structural properties of objects. We build adaptive maps for interpreting the object structure. The System is decomposed into four major modules, the sensing interface acquires visual data and performs low and intermediate vision tasks for enhancing the acquired image sequences. A knowledge base contains different visual primitives and the possible exploratory actions. The map building and decision making module gets its input from the sensing interface and utilizes the different predicates that are stored in the knowledge base in order to resolve possible uncertainties. The decisions made in the map building and decision making module are then utilized by the controller module which resolves possible inconsistencies due to physical limitations of the sensing devices. The above process is repeated until the map contains a minimal number of interpretations that cannot be reduced further.

Paper Details

Date Published: 1 April 1991
PDF: 8 pages
Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); doi: 10.1117/12.25271
Show Author Affiliations
Tarek M. Sobh, Univ. of Pennsylvania (United States)
Tarek Khaled Alameldin, Univ. of Pennsylvania (United States)


Published in SPIE Proceedings Vol. 1383:
Sensor Fusion III: 3D Perception and Recognition
Paul S. Schenker, Editor(s)

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