A hierarchical modular vision system for object recognition

Author

Renato Alberto Salinas

Date of Award

12-1985

Degree Type

Thesis

Degree Name

Master of Science

Major

Electrical Engineering

Major Professor

Ralph C. Gonzalez

Committee Members

Michael G. Thomason, Donald W. Bouldin

Abstract

Computer vision constitutes a fundamental component in robotic applications. Object recognition and the determination of object poise are necessary steps for intelligent manipulative tasks.

In this thesis, a hierarchical modular computer vision system for object recognition was developed. It combines statistical and structural techniques, and presents an approach to the problem of associating attributes with a string of pattern primitives.

Results show that the system can recognize objects in the presence of rotation, translation, size variation, sampling size and moderate amounts of noise.

Recommended Citation

Salinas, Renato Alberto, "A hierarchical modular vision system for object recognition. " Master's Thesis, University of Tennessee, 1985.
https://trace.tennessee.edu/utk_gradthes/14433