Hybrid stereo algorithm for digital photogrammetric images

Xiaoming Xu; G. Brandstaetter

doi:10.1117/12.169839

1 March 1994 Hybrid stereo algorithm for digital photogrammetric images

Xiaoming Xu, G. Brandstaetter

Proceedings Volume 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics; (1994) https://doi.org/10.1117/12.169839
Event: Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, 1993, Zurich, Switzerland

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.

Citation Download Citation

Xiaoming Xu and G. Brandstaetter "Hybrid stereo algorithm for digital photogrammetric images", Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); https://doi.org/10.1117/12.169839

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