Abstract
A novel method for registration of isometrically transformed surfaces is introduced. The isometric transformation is locally decomposed into a sequence of low order transformations after manual analysis and partition of the template surface into its elementary parts. The proposed method employs geodesic moments, first, to find matching corresponding key points, and second, to generate matching regions for each of the object’s parts. The local transformation is estimated using second order moments of the corresponding regions. The method operation is demonstrated on the TOSCA dog object.
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Vigdor, B., Francos, J.M. (2010). Anatomy-Based Registration of Isometrically Transformed Surfaces Using Geodesic Area Functionals. In: Blanc-Talon, J., Bone, D., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2010. Lecture Notes in Computer Science, vol 6474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17688-3_10
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DOI: https://doi.org/10.1007/978-3-642-17688-3_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17687-6
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