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Proceedings Paper

Characteristic Views As A Basis For Three-Dimensional Object Recognition
Author(s): Indranil Chakravarty; Herbert Freeman
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Paper Abstract

This paper describes a new technique for modeling 3D objects that is applicable to recog-nition tasks in advanced automation. Objects are represented in terms of canonic 2D models which can be used to determine the identity, location and orientation of an unknown object. The reduction in dimensionality is achieved by factoring the space of all possible perspective projections of an object into a set of characteristic views, where each such view defines a characteristic-view domain within which all projections are topologically identical and related by a linear transformation. The characteristic views of an object can then be hierarchically structured for efficient classification. The line-junction labelling constraints are used to match a characteristic view to a given unknown-object projection, and determination of the unknown-object projection-to-characteristic view transformation then provides information about the identity as well as the location and orientation of the object.

Paper Details

Date Published: 22 November 1982
PDF: 9 pages
Proc. SPIE 0336, Robot Vision, (22 November 1982); doi: 10.1117/12.933609
Show Author Affiliations
Indranil Chakravarty, Rensselaer Polytechnic Institute (United States)
Herbert Freeman, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 0336:
Robot Vision
Azriel Rosenfeld, Editor(s)

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