Estimation of shape, lighting, and reflectivity from stereo and shading information

This thesis is concerned with the combined use of stereo and shading information for the purpose of three-dimensional surface shape estimation. The applicability, resolution, and accuracy of each individual method is examined and compared with that attainable in a combined approach. Integration is examined from standard and stochastic perspectives. The standard approach involves use of stereo information as an initial estimate of the surface shape from which parameters of the shading method such as the light source direction can be estimated. Issues of lighting and reflectivity estimation are addressed and solutions are advanced. In particular, general methods for estimation of the light source distribution and reflectance map are proposed and tested. Colored lighting and color variant reflectance functions are examined as possible sources of additional shape information. A statistical approach to surface shape estimation called 'shape from appearance' is also advanced. In this approach, stereo information is used indirectly as a source of statistical information. It is shown that through a scale change the resulting statistical model can be used to achieve higher resolution than is achievable through the direct use of stereo information.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Hougen, Darrell Roy

Contributors dc:contributor

• Ahuja, Narendra

• Engineering, Electronics and Electrical
• Artificial Intelligence
• Computer Science

Statement dc:rights

• Copyright 1994 Hougen, Darrell Roy

Language dc:language

eng

Identifier

AAI9512398
(UMI)AAI9512398

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/23310