Rigid object motion estimation from intensity images using straight-line correspondences

Determining three-dimensional (3D) rigid object motion from intensity images is a central problem in computer vision. This thesis presents a computational approach of 3D rigid object motion estimation using straight line correspondences. Based on the rigidity assumption, a linear algorithm and a nonlinear algorithm of motion estimation are developed. With six or more line correspondences over three frames, the nonlinear algorithm first solves for the rotations, then eliminates the rotations from the original motion and computes the translations. The linear algorithm requires at least thirteen straight line correspondences over three frames to recover motion. A set of intermediate parameters is first estimated, and motion parameters are then determined from these intermediate parameters.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Liu, Yuncai

Contributors dc:contributor

• Huang, Thomas S.

• Engineering, Electronics and Electrical
• Physics, Electricity and Magnetism
• Computer Science

Statement dc:rights

• Copyright 1990 Liu, Yuncai

Language dc:language

eng

Identifier

AAI9114325
(UMI)AAI9114325

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/21089