Invariant surface characteristics for 3D object recognition in range images
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Surface shape and curvature scales
Image and Vision Computing
Algorithms and codes for dense assignment problems: the state of the art
Discrete Applied Mathematics
An extension of the Munkres algorithm for the assignment problem to rectangular matrices
Communications of the ACM
Non-iterative, feature-preserving mesh smoothing
ACM SIGGRAPH 2003 Papers
Salient geometric features for partial shape matching and similarity
ACM Transactions on Graphics (TOG)
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
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Intra-operative registration is one of the main challenges related to computer-assisted interventions. One common approach involves matching intra-operatively acquired surfaces (e.g. from a laser range scanner) to pre-operatively acquired planning data. In this paper, we propose a new method for correspondences search between surfaces, which can be used for the computation of an initial alignment. It generates graph representations and establishes correspondences by maximizing a global similarity measure. The method does not rely on landmarks or prominent surface characteristics and is independent on the initial pose of the surfaces relative to each other. According to an evaluation on a set of liver meshes, the method is able to correctly match small submeshes even in this presence of noise.