Surfaces From Stereo: An Integrated Approach

Stereo vision provides the capability of determining three-dimensional distance of objects from a stereo pair of images. The usual approach is to first identify corresponding features between the two images, then interpolate to obtain a complete distance or depth map. Traditionally, the most difficult problem has been to correctly match the corresponding features. Also, occluding and ridge contours (depth and orientation discontinuities) have not been explicitly detected and this has made surface interpolation difficult. The approach described in this thesis is novel in that it integrates the processes of feature matching, contour detection, and surface interpolation. Integration is necessary to ensure that the detected surface is smooth. The surface interpolation process takes into account the detected occluding and ridge contours in the scene; interpolation is performed within regions enclosed by these contours. Planar and quadratic patches are used as local models of the surface. Occluded regions in the image are identified and are not used for matching and interpolation.

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

2014

Author dc:creator

• Hoff, William Albert

• Computer Science

Identifier

(UMI)AAI8711810

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/69568