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Proceedings Paper

Automatic image-matching algorithm based on wavelet decomposition
Author(s): Xiuguang Zhou; Egon Dorrer
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Paper Abstract

The matching of stereo images is a key problem for digital photogrammetry. This paper presents an automatic image matching algorithm based on the wavelet decomposition. The matching strategy consists of two parts. First a rotating and wavelets weighted Laplacian variance coarse matching algorithm is operated on each level of image pyramids, which are generated by the orthogonal wavelet decomposition, to obtain a matching precision within 2 pixels. The wavelets' coefficients are used as the weight function in similarity measure. Second the well known least squares matching is performed to obtain the higher matching precision based on the results of the coarse matching. The potential of this matching method is shown in the experimental results of Mars remote sensing imagery.

Paper Details

Date Published: 17 August 1994
PDF: 10 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182855
Show Author Affiliations
Xiuguang Zhou, Univ. der Bundeswehr Munich (Germany)
Egon Dorrer, Univ. der Bundeswehr Munich (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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