期刊名称：International Journal of Computer Games Technology
印刷版ISSN：1687-7047
电子版ISSN：1687-7055
出版年度：2009
卷号：2009
DOI：10.1155/2009/609350
出版社：Hindawi Publishing Corporation
摘要：We present a new point matching method to overcome the dense point-to-point alignment of scanned 3D
faces. Instead of using the rigid spatial transformation in the traditional iterative closest point (ICP) algorithm, we adopt
the thin plate spline (TPS) transformation to model the deformation of different 3D faces. Because TPS is a non-rigid
transformation with good smooth property, it is suitable for formulating the complex variety of human facial morphology. A closest point searching algorithm is proposed to keep one-to-one mapping, and to get good efficiency the point
matching method is accelerated by a KD-tree method. Having constructed the dense point-to-point correspondence of
3D faces, we create 3D face morphing and animation by key-frames interpolation and obtain realistic results. Comparing
with ICP algorithm and the optical flow method, the presented point matching method can achieve good matching
accuracy and stability. The experiment results have shown that our method is efficient for dense point objects registration.
