Share Email Print
cover

Proceedings Paper

Hybrid stereo algorithm for digital photogrammetric images
Author(s): Xiaoming Xu; G. Brandstaetter
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The goal of the stereo algorithm is to determine the depth of objects from a stereo pair of images. The procedure of matching homogenous scenes from both images has been considered to be the most difficult problem. The approach described in this paper integrates the processes of feature matching and relational tree-matching techniques. Integration is necessary to ensure the high rate of correct matching results even in regions with many occlusions. The feature- matching technique used here is an adaptive one based on the boundary information from LoG operator, local invariant information detected by FFT operator, and the local curve signature. The relational tree technique is applied when the occlusion occurs. Experimental results are given for a typical photogrammetric stereo image.

Paper Details

Date Published: 1 March 1994
PDF: 8 pages
Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); doi: 10.1117/12.169839
Show Author Affiliations
Xiaoming Xu, Technical Univ. Graz (Austria)
G. Brandstaetter, Technical Univ. Graz (Austria)


Published in SPIE Proceedings Vol. 2252:
Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics
Armin Gruen; Heribert Kahmen, Editor(s)

© SPIE. Terms of Use
Back to Top