A Branch-and-Bound Approach to Correspondence and Grouping Problems
Data correspondence/grouping under an unknown parametric model is a fundamental topic in computer vision. Finding feature correspondences between two images is probably the most popular application of this research field, and is the main motivation of our
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Pattern Analysis and Machine Intelligence|
|01_Bazin_A_Branch-and-Bound_Approach_to_2013.pdf||1.91 MB||Adobe PDF||Request a copy|
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