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Proceedings Paper

Integrating Sensory Data for Object Recognition Tasks
Author(s): Peter K. Allen; Ruzena Bajcsy
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Paper Abstract

Object recognition is a difficult task for single sensor systems (e.g. machine vision) in unconstrained environments. A useful approach is to combine sensory data from more than one source to overcome these problems. However, using multiple sensors poses new problems with respect to coordination of the sensors, strategies for their use and integration of their data. In this paper, these problems are explored and solutions posed for the task of object recognition using passive stereo vision and active tactile sensing.

Paper Details

Date Published: 9 June 1986
PDF: 8 pages
Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); doi: 10.1117/12.952264
Show Author Affiliations
Peter K. Allen, Columbia University (United States)
Ruzena Bajcsy, University of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 0595:
Computer Vision for Robots
Olivier D. Faugeras; Robert B. Kelley, Editor(s)

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