Sparse update for loopy belief propagation: fast dense registration for large state spaces
A dense point-based registration is an ideal starting point for detailed comparison between two neuroanatomical objects. This paper presents a new algorithm for global dense point-based registration between anatomical objects without assumptions about their shape. We represent mesh models of the surfaces of two similar 3D anatomical objects using a Markov Random Field and seek correspondence pairs between points in each shape. However, for densely sampled objects the set of possible point by...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2010)|
|01_Xiao_Sparse_update_for_loopy_belief_2010.pdf||62.7 kB||Adobe PDF||Request a copy|
|02_Xiao_Sparse_update_for_loopy_belief_2010.pdf||1.38 MB||Adobe PDF||Request a copy|
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