Dynamic integration of depth cues for surface reconstruction from stereo images

This thesis describes a computational method for surface estimation from stereo images. The images are obtained with a dynamically controlled camera system, having imaging parameters which are selected on the basis of an evolving composite description of the surfaces in the environment. This follows the paradigm of active vision, which implies a feedback mechanism to select physical sensory parameters in order to improve the quality of the derived results.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Engineering, Electronics and Electrical

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Abbott, Amos Lynn

Contributors dc:contributor

• Ahuja, Narendra

• Engineering, Electronics and Electrical
• Computer Science

Statement dc:rights

• Copyright 1990 Abbott, Amos Lynn

Language dc:language

eng

Identifier

AAI9026116
(UMI)AAI9026116

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23593