Contour canonical form: an efficient intrinsic embedding approach to matching non-rigid 3D objects
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
3D partial surface matching using differential geometry and statistical approaches
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
3D human motion analysis framework for shape similarity and retrieval
Image and Vision Computing
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The 3D-shape matching problem plays a crucial role in many applications, such as indexing or modeling, by example. Here, we present a novel approach to matching 3D objects in the presence of nonrigid transformation and partially similar models. In this paper, we use the representation of surfaces by 3D curves extracted around feature points. Indeed, surfaces are represented with a collection of closed curves, and tools from shape analysis of curves are applied to analyze and to compare curves. The belief functions are used to define a global distance between 3D objects. The experimental results obtained on the TOSCA and the SHREC07 data sets show that the system performs efficiently in retrieving similar 3D models.