Computer facial animation
Synthesizing realistic facial expressions from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Animating facial features and expressions
Animating facial features and expressions
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A parametric model for human faces.
A parametric model for human faces.
Real-time face pose tracking and facial expression synthesizing for the animation of 3D avatar
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
A robust 3d face pose estimation and facial expression control for vision-based animation
MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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This paper presents a novel approach to produce a realistic 3D face model from multi-view face images. To extract facial region and facial feature points from color image a new nonparametric skin color model that is proposed. Conventionally used parametric skin color models for face detection have lack of robustness for varying lighting conditions and need extra work. To resolve the limitation of current skin color model, we exploit the Hue-Tint chrominance components and represent the skin chrominance distribution as a linear function. Thus, the facial color distribution is simply described as a combination of the maximum and minimum values of Hue and Tint components. Moreover, the minimal facial feature positions detected by the proposed skin model are adjusted by using edge information of the detected facial region along with the proportions of the face. To produce the realistic face model, we adopt log RBF(Radial-Based Function) to deform the generic face model according to the detected facial feature points from face images. The experiments show that the proposed approach efficiently detects facial feature points and produces a realistic 3D face model.