Abstract

A method and a system for progressive stereo matching of digital images representing a scene. In general, the present invention uses a progressive iterative technique that includes a disparity gradient limit principle and a least commitment strategy. The progressive iterative technique finds generally unambiguous pixel matches by beginning with a few reliable pixel matches and finding progressively more unambiguous pixel matches. Unambiguous pixel matches found in the previous iteration are used to define the search ranges for each pixel to guide matching in the current iteration. Unambiguous pixel matches in the current iteration then are found using a novel correlation technique and based on a correlation score associated with a pixel match. The search range is capable of being rotated, and is part of a novel correlation technique of the present invention that provides a more robust estimate of pixel match reliability. Potential pixel matches found in the search ranges are tested for ambiguity and any unambiguous matches are selected and added to the set of reliable pixel matches. The ambiguity testing includes determining a correlation score for the pixel match and classifying the match based on the correlation score. The present invention also includes a system for progressive image matching that incorporates the method of the present invention.

Other References

• M. Lhuillier and L, Quan, "Image interpolation by joint view triangulation", in Proc. Conf. on Computer Vision and Pattern Recognition, vol. 2, pp. 139-145, Colorado, Jun. 1999
• Q. Chen and G. Medioni, "A volumetric stereo matching method: application to image-based modeling", in Proc. Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 29-34, Jun. 199