<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>7769</REFNUM><AUTHORS><AUTHOR>Ju,X.</AUTHOR><AUTHOR>Mao,Z.</AUTHOR><AUTHOR>Siebert,J.P.</AUTHOR><AUTHOR>McFarlane,N.</AUTHOR><AUTHOR>Wu,J.</AUTHOR><AUTHOR>Tillett,R.</AUTHOR></AUTHORS><YEAR>2004</YEAR><TITLE>Applying Mesh Conformation on Shape Analysis with Missing Data</TITLE><PLACE_PUBLISHED>2nd International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT 2004 </PLACE_PUBLISHED><PUBLISHER>IEEE Computer Society Press</PUBLISHER><PAGES>696 - 702 </PAGES><ISBN>0-7695-2223-8</ISBN><LABEL>Ju:2004:7769</LABEL><KEYWORDS><KEYWORD>a dense correspondence</KEYWORD></KEYWORDS<ABSTRACT>A mesh conformation approach that makes use of deformable generic meshes has been applied to establish correspondences between the shapes with missing data. Given a group of shapes with correspondences, we can construct a statistical shape model by applying principal component analysis (PCA). The conformation at first globally maps the generic mesh to the 3D shape based on manually located corresponding landmarks, and then locally deforms the generic mesh to clone the 3D shape. The local deformation is constrained by minimizing the energy of an elastic model. An algorithm was also embedded in the conformation process to fill missing surface data of the shapes. Synthetic tests demonstrated that the conformation preserved the configuration of the generic mesh, and hence it helped to build a good correspondence for shape analysis. Case studies of the principal component analysis of shapes were presented to illustrate the successes and advantages of our approach. </ABSTRACT></RECORD></RECORDS></XML>