Models and algorithms to improve the basis of facets stereo vision

Jaan-Rong Tsay; Bernhard P. Wrobel

doi:10.1117/12.182804

17 August 1994 Models and algorithms to improve the basis of facets stereo vision

Jaan-Rong Tsay, Bernhard P. Wrobel

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182804
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

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.

Citation Download Citation

Jaan-Rong Tsay and Bernhard P. Wrobel "Models and algorithms to improve the basis of facets stereo vision", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182804

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KEYWORDS

Visual process modeling

Digital imaging

Reconstruction algorithms

Mathematical modeling

Image sensors

Image quality

3D image reconstruction

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