Abstract: Virtual human skinning animation is an important issue in the field of virtual human modeling, which has significant value in the application of film and television production, animation design, and virtual reality, etc. For virtual human skinning animation research, the core of the problem is the skinning parameter calculation, and that skinning calculation is accurate or not determines if the animation is lifelike or not. Common method is the direct calculation method based on the bones and skin, but this method has largely great dependence to posture, and there is no quantitative measure, hard to ensure accuracy. This paper proposed a method that needed skinning parameter optimization and calculation based on depth image sequences. This method was based on the depth image sequence under different posture, designed optimization function about skinning and posture parameters, and took deformation of different postures into comprehensive consideration. Skinning parameters and posture parameters were optimized by the alternate, until the target function reached convergence, and then we output the skinning parameters. The experimental results show that the proposed method has a better animation effect on the vision, and a smaller error on the error comparison when compared with other methods.

Key words: virtual human, depth image, skinning parameter, optimization, animation effects