A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
Robust face alignment based on hierarchical classifier network
ECCV'06 Proceedings of the 2006 international conference on Computer Vision in Human-Computer Interaction
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Avatar is the virtual representation of user's facial, body, and motion characteristics in computer game, social network, and augmented reality. Facial modeling needs enormous efforts to achieve immersive experience in applications like avatar chatting or online makeover. Great challenge exists in robust detection of 2D facial prominent points and mapping them to 3D models in a parameterized manner. Another challenge is how to characterize semantic components of eyes, mouth, nose, and cheek rather than low level mesh geometries. In this paper, we proposed an augmented makeover framework to deal with aforementioned challenges. Aiming to provide amateurs with flexible customizations, morphable model is constructed from a set of scanned 3D face data set. Appearance personalization is carried out in the offline phase where single image and multiple views are discussed respectively to generate deformative shape in a progressive manner. Augmentation is implemented in the online phase where a fast and robust 3D tracking is used to balance the tradeoff between accuracy and real-time requirements. By this means, immersive Human Computer Interaction such as virtual makeover and photo-realistic avatar chatting could be achieved.