We propose novel approaches to region-based hierarchical image matching, where, given two images, the goal is to identify the largest part in image 1 and its match in image 2 having the maximum similarity measure deļ¬ned in terms of geometric and photometric properties of regions (e.g., area, boundary shape, and color), as well as region topology (e.g., recursive embedding of regions)
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- V. Hedau, H. Arora and N. Ahuja, Matching Images under Unstable Segmentation, Proc. IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, June 2008.
- S. Todorovic and N. Ahuja, Scale-invariant Region-based Hierarchical Image Matching , 19th International Conference on Pattern Recognition, Tampa, FL, December 2008.