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SEEMORE: A View-Based Approach to 3-D Object Recognition Using Multiple Visual Cues

By Bartlett W. Mel

Abstract

A neurally-inspired visual object recognition system is described called seemore, whose goal is to identify common objects from a large known set---independent of 3-D viewing angle, distance, and non-rigid distortion. seemore's database consists of 100 objects that are rigid (shovel), non-rigid (telephone cord), articulated (book), statistical (shrubbery), and complex (photographs of scenes). Recognition results were obtained using a set of 102 color and shape feature channels within a simple feedforward network architecture

Publisher: MIT Press
Year: 1996
OAI identifier: oai:CiteSeerX.psu:10.1.1.17.9895
Provided by: CiteSeerX
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