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3D Model Recognition from Stereoscopic Cues

John P. Frisby, John Mayhew

Year
1991
Citations
26

Abstract

From the Publisher: 3D Model Recognition from Stereoscopic Cues provides a rich, integrated account of work done within a large-scale, multisite, Alvey-funded collaborative project in computer vision. It presents a variety of methods for deriving surface descriptions from stereoscopic data and for matching those descriptions to three-dimensional models for the purposes of object recognition, vision verification, autonomous vehicle guidance, and robot workstation guidance. State of the art vision systems are described in sufficient detail to allow researchers to replicate the results.

Keywords

StereoscopyComputer scienceArtificial intelligenceVariety (cybernetics)ReplicateComputer visionMatching (statistics)WorkstationCognitive neuroscience of visual object recognitionScale (ratio)

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