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A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation
Joint Authors
Hu, Yongli
Zhou, Ming-Quan
Wu, Zhongke
Source
International Journal of Computer Games Technology
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-06-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Hu, Yongli& Zhou, Ming-Quan& Wu, Zhongke. 2009. A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation. International Journal of Computer Games Technology،Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-484836
Modern Language Association (MLA)
Hu, Yongli…[et al.]. A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation. International Journal of Computer Games Technology No. 2009 (2009), pp.1-9.
https://search.emarefa.net/detail/BIM-484836
American Medical Association (AMA)
Hu, Yongli& Zhou, Ming-Quan& Wu, Zhongke. A Dense Point-to-Point Alignment Method for Realistic 3D Face Morphing and Animation. International Journal of Computer Games Technology. 2009. Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-484836
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484836