Abstract
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.
Original language | English |
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Pages (from-to) | 337-351 |
Number of pages | 15 |
Journal | Journal of Information Science and Engineering |
Volume | 27 |
Issue number | 1 |
State | Published - Jan 2011 |
Keywords
- Blend shape
- Detail preservation
- Facial expression
- Image editing
- Steerable pyramid