Stereo correspondence by surface reconstruction

Author

Olsen, Soren I.

Author_Institution

Dept. of Comput. Sci., Copenhagen Univ., Denmark

Volume

12

Issue

3

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

309

Lastpage

315

Abstract

An algorithm that solves the computational stereo correspondence and the surface reconstruction is presented. The algorithm integrates the reconstruction process in the correspondence analysis by means of multipass attribute matching and disparity refinement. In the matching process, the requirement of attribute similarity is relaxed with the pass number while the requirement for agreement between the predicted and the measured disparity is tightened. Disparity discontinuities and occluded areas are detected by analyzing the partial derivatives of the reconstructed disparity surface. Results on synthetic and on real stereo image pairs are reported

Keywords

pattern recognition; picture processing; computational stereo correspondence; correspondence analysis; disparity discontinuities; disparity refinement; multipass attribute matching; occluded areas; partial derivatives; surface reconstruction; Algorithm design and analysis; Computer vision; Geometry; Image edge detection; Image reconstruction; Image segmentation; Layout; Stereo image processing; Stereo vision; Surface reconstruction;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.49055

Filename

49055