By Ming-Hsuan Yang, Narendra Ahuja
3D Face Processing: Modeling, research and Synthesis will curiosity these operating in face processing for clever human desktop interplay and video surveillance. It encompasses a accomplished survey on latest face processing suggestions, which could function a reference for college students and researchers. It additionally covers in-depth dialogue on face movement research and synthesis algorithms, for you to profit extra complicated graduate scholars and researchers.
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Extra resources for 3D Face Processing (The Kluwer International Series in Video Computing): Modeling, Analysis, and Synthesis
FACS [Ekman and Friesen, 1977] describes arbitrary facial deformation as a combination of Action Units (AUs) of a face. Because AUs are only defined qualitatively, and do not contain temporal information, they are usually manually customized for computation. Brand [Brand, 2001] used lowlevel image motion to learn a linear subspace model from raw video. However, the estimated low-level image motion is noisy such that the derived model is less realistic. With the recent advance in motion capture technology, it is now possible to collect large amount of real human motion data.
1998, Reveret and Essa, 2001] only deal with lips. The trained 3D model is able to encode the information of real lip deformations. , 2001, Reveret and Essa, 2001] to derive basis of facial deformation model. , 2001b]. 2. Geometric MU-based 3D Face Tracking In the conventional 3D non-rigid face tracking algorithm using FACS-based 3D facial deformation model, the subspace spanned by the Action Units (AUs) is used as the high-level knowledge to guide face tracking. Similar to MU, AUs are defined such that arbitrary facial deformation is approximated by a linear combination of AUs.
6 show some local deformation in lower lips and right cheek, each of which is induced by one of the learned parts-based MUs. These locally deformed shapes are difficult to approximate using holistic MUs in Section 3. 5. Three lower lips shapes deformed by three of the lower lips parts-based MUs respectively. The top row is the frontal view and the bottom row is the side view. 6. based MU. (a): The neutral face side view. (b): The face deformed by one right cheek parts- than 100 holistic MUs are need to achieve a 90% reconstruction accuracy.