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 deﬁned 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)
- S. Todorovic and N. Ahuja, Region Based Hierarchical Image Matching, International Journal of Computer Vision, Vol. 78, No. 1, 2008, 47-66.
- 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.