Fast individual face modeling and animation
Proceedings of the second Australasian conference on Interactive entertainment
Image-based 3D face modeling system
EURASIP Journal on Applied Signal Processing
MAP estimation of chin and cheek contours in video sequences
EURASIP Journal on Applied Signal Processing
A biologically inspired generation of virtual characters
Proceedings of the 2008 ACM symposium on Applied computing
EDFCES: a new example-driven 3D face construction and editing system
Machine Graphics & Vision International Journal
Face to face: anthropometry-based interactive face shape modeling using model priors
International Journal of Computer Games Technology - Special issue on cyber games and interactive entertainment
3D face model reconstruction from single 2D frontal image
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Automatic and real-time 3D face synthesis
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Image-based photorealistic 3-D face modeling
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Image synthesis and face recognition based on 3d face model and illumination model
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
An efficient face detection method in color images
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
| Hi-index | 0.00 |
A 3-D facial model can be accurately obtained from: (1) stereo facial images or (2) front- and side-view facial images. The stereo images can be obtained by two different cameras at the same time. On the other hand, capturing front- and side-view facial images requires precise location of the camera. Either may be unavailable in many practical applications. We modify several existing techniques to automatically locate the feature point position from the front-view facial image. Then several schemes (such as minimum mean square error, minimum mean absolute error, and maximum a posteriori) are used to estimate the "depth" information of the 3-D facial model parameters from the single front-view facial image according to the anthropometric and a priori information. With this scheme, a 3-D facial model can be estimated from single front-view facial image. According to the simulation results, the estimated facial model matches the exact 3-D facial model, and the synthesized and original side-view facial images appear similar