Dynamical systems approach to binocular stereopsis

The extraction of depth in binocular stereopsis relies upon the ability to detect the co-occurrence of similar features in a stereo pair of images and the subsequent extraction of positional disparity. The fundamental problem of stereopsis is to achieve coordinated activity through the linkage of co-occurring features. This thesis investigates a model for stereopsis in which the linkage of features is achieved by interactions among low-order dynamical systems serving as feature detectors. In this model, a dynamical system is an ensemble of nonlinear oscillators associated with an image location. The initial state of each oscillator is determined by the gray-level context of the image location. Distinct features can be identified through the convergence of the dynamical system to a stable mode of coherent oscillations. The recovery of binocular disparity is achieved by the interactions between two such dynamical systems associated with corresponding epipolar lines in the two images.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Altman, Edward James

Contributors dc:contributor

• Ahuja, Narendra

• Engineering, Electronics and Electrical
• Artificial Intelligence

Statement dc:rights

• Copyright 1990 Altman, Edward James

Language dc:language

eng

Identifier

AAI9114160
(UMI)AAI9114160

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22874