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Proceedings Paper

Models and algorithms to improve the basis of facets stereo vision
Author(s): Jaan-Rong Tsay; Bernhard P. Wrobel
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Paper Abstract

Facets stereo vision (FAST Vision) is an object space oriented least squares image matching method to reconstruct simultaneously the geometric surface of an object and its ortho image (its radiometric surface) from digital data of two or more stereo images. In order to obtain an automatic and accurate object reconstruction with strict accuracy estimations by FAST Vision as rapidly as possible, the models and algorithms to improve the basis of FAST Vision are investigated and/or developed. They are presented in this paper. Emphasis is laid upon four objectives: the models of FAST Vision should be as realistic as possible, ill-posed problems in FAST Vision should be solved using appropriate methods, its accuracy estimations should be strict, and the computational algorithms should be prepared for as short an execution time as possible. On the other hand, the potentials and suppositions of FAST Vision are elucidated in this paper, too. Other improvements of the processing procedures for FAST Vision are illustrated summarily.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182804
Show Author Affiliations
Jaan-Rong Tsay, Technical Univ. Darmstadt (Germany)
Bernhard P. Wrobel, Technical Univ. Darmstadt (Germany)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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