Automatic image-matching algorithm based on wavelet decomposition

Xiuguang Zhou; Egon Dorrer

doi:10.1117/12.182855

17 August 1994 Automatic image-matching algorithm based on wavelet decomposition

Xiuguang Zhou, Egon Dorrer

Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182855
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany

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.

Citation Download Citation

Xiuguang Zhou and Egon Dorrer "Automatic image-matching algorithm based on wavelet decomposition", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); https://doi.org/10.1117/12.182855

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