Use of a Dense Surface Point Distribution Model in a Three-Stage Anatomical Shape Reconstruction from Sparse Information for Computer Assisted Orthopaedic Surgery: A Preliminary Study

Constructing anatomical shape from extremely sparse information is a challenging task. A priori information is often required to handle this otherwise ill-posed problem. In the present paper, we try to solve the problem in an accurate and robust way. At the heart of our approach lies the combination...

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Veröffentlicht in:	Computer Vision – ACCV 2006 2006, p.52-60
Hauptverfasser:	Zheng, Guoyan, Rajamani, Kumar T., Nolte, Lutz-Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Iterative Close Point Pattern recognition. Digital image processing. Computational geometry Statistical Shape Model Subdivision Surface Triangle Mesh
Online-Zugang:	Volltext
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