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JIA-RU LIN AND I-CHEN LIN
Institute of Multimedia Engineering
College of Computer Science
National Chiao Tung University
Hsinchu, 300 Taiwan
In this paper, a feature-point-driven expression editing and synthesis framework is
proposed. While the extensively used blend shape methods suffer detail losing during
image blending, the proposed multi-layer method can retain the flexibility and variety of
geometry editing and preserve detail features as well. For low-frequency sub-bands, optimization-based blend shape is presented for large-to-mid scale synthesis. In addition,
statistics-based feature matching and enhancement are proposed for high-frequency details.
Our results show that the proposed methods are adequate to high-resolution expression
synthesis and detail-preserved image editing.
Received November 17, 2008; revised March 17, 2009; accepted April 2, 2009.
Communicated by Tong-Yee Lee.
* This paper was partially supported by National Science Council, Taiwan with grant no. NSC 95-2221-E-009-
164-MY3.