27 March 1987 Real-Time 3-D Object Classification Using a Learning System
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Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937773
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States
Abstract
We describe some experiments in real-time 3-D object classification using a learning system derived from a general neural model for supervised learning. The primary advantages of the learning system are its ability to learn from experience to recognize patterns and its inherent massive parallelism. Our motivation is to examine the feasibility and merits of the learning system in a simple machine vision problem.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raymond Rimey, Raymond Rimey, Philip Gouin, Philip Gouin, Christopher Scofield, Christopher Scofield, Douglas L. Reilly, Douglas L. Reilly, } "Real-Time 3-D Object Classification Using a Learning System", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937773; https://doi.org/10.1117/12.937773
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