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Integrating Sensory Data for Object Recognition Tasks

Allen, Peter K.; Bajcsy, Ruzena

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.

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Title
Computer vision for robots : 2-6 December, 1985, Cannes, France
Publisher
Society of Photo-optical Instrumentation Engineers
DOI
https://doi.org/10.1117/12.952264

More About This Work

Academic Units
Computer Science
Series
Proceedings of SPIE--The International Society for Optical Engineering, 595
Published Here
November 8, 2012