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http://hdl.handle.net/1783.1/6075
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| Title: | 3D reconstruction and synthesis of facial expressions using a manifold alignment framework |
| Authors: | Yu, Lap Fai |
| Issue Date: | 2009 |
| Abstract: | The capture, reconstruction and synthesis of facial expressions often involves specialized hardware support and considerable computation time. This prohibits its widespread deployment and use in real-time applications. In this paper, we aim at tackling this limitation via a learning-based approach, which is efficient and requires only modest hardware support. Our approach is based on a semi-supervised manifold alignment framework, where feature points extracted from 2D face images are aligned with data expressed as morph-target values for a 3D face model. By applying a kernel embedding method known as kernel locality preserving projections (KLPP) and a method for solving the pre-image problem in kernel methods, our framework is capable of handling nonlinearity and is defined everywhere. Experiments are conducted to demonstrate two possible applications of our proposed framework: 3D reconstruction of facial expressions and dynamic synthesis of facial expression sequences. |
| Description: | Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2009
x, 115 p. : ill. ; 30 cm
HKUST Call Number: Thesis CSED 2009 Yu |
| URI: | http://hdl.handle.net/1783.1/6075 |
| Appears in Collections: | CSE Master Theses
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