Integrating Sensory Data for Object Recognition Tasks
Allen
Peter K.
author
Columbia University. Computer Science
Bajcsy
Ruzena
author
Columbia University. Computer Science
originator
text
Articles
1986
English
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.
Artificial intelligence
Computer vision for robots : 2-6 December, 1985, Cannes, France
Faugeras
O. D.
editor
Kelley
Robert
editor
Bellingham, Wash.
Society of Photo-optical Instrumentation Engineers
1986
225
232
http://dx.doi.org/10.1117/12.952264
Proceedings of SPIE--The International Society for Optical Engineering
595
0277-786X
http://hdl.handle.net/10022/AC:P:15232
NNC
NNC
2012-11-08 12:40:44 -0500
2012-11-12 14:33:17 -0500
9234
eng