Image matching for digital close-range stereo photogrammetry based on constraints of Delaunay triangulated network and epipolar-line

K. Zhang; Y. H. Sheng; Y. Q. Li; B. Han; Ch. Liang; W. Sha

doi:10.1117/12.713275

28 October 2006 Image matching for digital close-range stereo photogrammetry based on constraints of Delaunay triangulated network and epipolar-line

K. Zhang, Y. H. Sheng, Y. Q. Li, B. Han, Ch. Liang, W. Sha

Author Affiliations +

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64191W (2006) https://doi.org/10.1117/12.713275
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

In the field of digital photogrammetry and computer vision, the determination of conjugate points in a stereo image pair, referred to as "image matching," is the critical step to realize automatic surveying and recognition. Traditional matching methods encounter some problems in the digital close-range stereo photogrammetry, because the change of gray-scale or texture is not obvious in the close-range stereo images. The main shortcoming of traditional matching methods is that geometric information of matching points is not fully used, which will lead to wrong matching results in regions with poor texture. To fully use the geometry and gray-scale information, a new stereo image matching algorithm is proposed in this paper considering the characteristics of digital close-range photogrammetry. Compared with the traditional matching method, the new algorithm has three improvements on image matching. Firstly, shape factor, fuzzy maths and gray-scale projection are introduced into the design of synthetical matching measure. Secondly, the topology connecting relations of matching points in Delaunay triangulated network and epipolar-line are used to decide matching order and narrow the searching scope of conjugate point of the matching point. Lastly, the theory of parameter adjustment with constraint is introduced into least square image matching to carry out subpixel level matching under epipolar-line constraint. The new algorithm is applied to actual stereo images of a building taken by digital close-range photogrammetric system. The experimental result shows that the algorithm has a higher matching speed and matching accuracy than pyramid image matching algorithm based on gray-scale correlation.

Citation Download Citation

K. Zhang, Y. H. Sheng, Y. Q. Li, B. Han, Ch. Liang, and W. Sha "Image matching for digital close-range stereo photogrammetry based on constraints of Delaunay triangulated network and epipolar-line", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191W (28 October 2006); https://doi.org/10.1117/12.713275

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