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Sparse update for loopy belief propagation: fast dense registration for large state spaces

Xiao, Pengdong; Barnes, Nick; Lieby, Paulette; Caetano, Tiberio


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]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
Source: Proceedings of the Digital Image Computing: Techniques and Applications (DICTA 2010)
DOI: 10.1109/DICTA.2010.97


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