Recognizing Shapes Via Random Chord Samplings

Report
Authors:Hashim, R, Department of Computer ScienceUniversity of Virginia Martin, Worthy, Department of Computer ScienceUniversity of Virginia
Abstract:

A brief introduction to various methods of two dimensional shape recognition is given. A procedure for image-plane rotation and translation invariant object recognition is described. The method is based on sampling random chords from the greylevel image of an object and using the texture information associated with these chords to recognize the object. A voting scheme based on a generalized Hough transform performs the recognition. Schemes for organizing random chord shape descriptions and for matching the textural information associated with the chords are presented in terms of the overall voting scheme. Examples are given which show the effectiveness of this technique. Finally, directions of future research are discussed.
Note: Abstract extracted from PDF file via OCR

Rights:
All rights reserved (no additional license for public reuse)
Language:
English
Source Citation:

Hashim, R, and Worthy Martin. "Recognizing Shapes Via Random Chord Samplings." University of Virginia Dept. of Computer Science Tech Report (1986).

Publisher:
University of Virginia, Department of Computer Science
Published Date:
1986