Paper
9 June 1986 Integrating Sensory Data for Object Recognition Tasks
Peter K. Allen, Ruzena Bajcsy
Author Affiliations +
Proceedings Volume 0595, Computer Vision for Robots; (1986) https://doi.org/10.1117/12.952264
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France
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.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter K. Allen and Ruzena Bajcsy "Integrating Sensory Data for Object Recognition Tasks", Proc. SPIE 0595, Computer Vision for Robots, (9 June 1986); https://doi.org/10.1117/12.952264
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Sensors

3D modeling

Object recognition

Data modeling

Robots

Data integration

Machine vision

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