Realistic Reconstruction of Human Face Based on Images
Mei Li · Chinese Journal of Computers · 2000
This paper presents a reconstruction algorithm for 3D realistic facial model based on facial images. In this algorithm, the camera is calibrated according to its field of view and manual labeled feature points. The dense corresponding points on the two facial images are matched using a semi _automatic method to carry out 3D reconstruction. Firstly, the initial face shape is gained by editing 2D corresponding mesh manually. Secondly, a robust maximum likelihood stereo matching algorithm is used to get dense corresponding points, and recover their 3D positions. Lastly, the 3D initial facial mesh is subdivided adaptively according to the distribution density of 3D points to construct the resulting model. To remove the reconstruct noise, second order Laplace operator is used to smooth the model. The result model is decorated by texture mapping. Experiments show that the algorithm is simple and can generate very realistic facial expression without expensive devices.