Angle densities and recognition of 3D objects

Document Type

Article

Publication Date

12-1-1997

Abstract

Recognition of 3D objects using computer vision is complicated by the fact that geometric features vary with view orientation. An important factor in designing recognition algorithms in such situations is understanding the variation of certain critical features such as angles. In this paper we derive the two dimensional joint density function of two angles in a scene given an Isotropie view orientation and an orthographic projection. The analytic expression for the densities are useful in determining statistical decision rules to recognize surfaces and objects. Experiments to evaluate the usefulness of the proposed methods are reported. © 1997 IEEE.

Identifier

0030786252 (Scopus)

Publication Title

IEEE Transactions on Pattern Analysis and Machine Intelligence

External Full Text Location

https://doi.org/10.1109/34.566810

ISSN

01628828

First Page

52

Last Page

57

Issue

1

Volume

19

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