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Proceedings Paper

Three-dimensional object recognition and pose determination based on combined-edge and surface-shape data
Author(s): Yi Tan; Herbert Freeman
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Paper Abstract

This paper describes a new approach to the classical machine vision problem of 3-D object recognition and pose determination. The process begins by extracting contour edges from a given patterned-light image of an unknown object and postulates an initial object line structure. This line structure is used to guide placement of a set of small surface-attribute- determining windows, called `surface-attribute probes' (SAPs), over the image to determine whether the areas being examined show the presence of one or more intersecting planar or curved regions. The resulting information is used to refine the object line structure, i.e., to determine all face intersections and characterize each face. The process is repeated until no further refinement in region segmentation and surface-attribute determination appears feasible.

Paper Details

Date Published: 20 August 1993
PDF: 12 pages
Proc. SPIE 2059, Sensor Fusion VI, (20 August 1993); doi: 10.1117/12.150270
Show Author Affiliations
Yi Tan, Rutgers Univ. (United States)
Herbert Freeman, Rutgers Univ. (United States)

Published in SPIE Proceedings Vol. 2059:
Sensor Fusion VI
Paul S. Schenker, Editor(s)

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