Shape Correspondence through Landmark Sliding

Motivated by improving statistical shape analysis, this paper presents a novel landmark-based method for accurate shape correspondence, where the general goal is to align multiple shape instances by corresponding a set of given landmark points along those shapes. Different from previous methods, we consider both global shape deformation and local geometric features in defining the shapecorrespondence cost function to achieve a consistency between the landmark correspondence and the underlying shape correspondence. According to this cost function, we develop a novel landmark-sliding algorithm to achieve optimal landmark-based shape correspondence with preserved shape topology. The proposed method can be applied to correspond various 2D shapes in the forms of single closed curves, single open curves, self-crossing curves, and multiple curves. We also discuss the practical issue of landmark initialization. The proposed method has been tested on various biological shapes arising from medi...

• Type: Conference
• Year: 2004
• Where: CVPR
• Authors: Song Wang, Toshiro Kubota, Theodor Richardson
• Keywords: Accurate Shape Correspondence, Computer Vision, CVPR 2004, Landmark-based Shape Correspondence, Multiple Shape Instances, Preserved Shape Topology, Statistical Shape Analysis