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Integrating Sensory Data for Object Recognition Tasks

Peter K. Allen; Ruzena Bajcsy

Title:
Integrating Sensory Data for Object Recognition Tasks
Author(s):
Allen, Peter K.
Bajcsy, Ruzena
Date:
Type:
Articles
Department:
Computer Science
Permanent URL:
Part Number:
595
Book/Journal Title:
Computer vision for robots : 2-6 December, 1985, Cannes, France
Publisher:
Society of Photo-optical Instrumentation Engineers
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.
Subject(s):
Artificial intelligence
Publisher DOI:
http://dx.doi.org/10.1117/12.952264
Item views:
75
Metadata:
text | xml

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