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