30 October 2009 Implementation of digital human modeling and skin deformation based on flexible model and multi-joints-binding method
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Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74961K (2009) https://doi.org/10.1117/12.832765
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Digital human modeling and skin deformation is the most challenging and widely used computer animation technology. In all existing methods the skinning algorithm has many advantages such as fast implement speed and simple operating process, but it also has the flaws such as local 'collapse' and 'drape' phenomena. An improved skinning method is presented that can effectively reduce traditional flaws of this method. After the key terminologies are introduced the improvement for skinning deformation is illustrated in detail. The main measures include that (1) adding extra joints on JSL to minimize the distance between adjacent joints and thus joint's importance attribute is introduced, (2) using joint cluster to replace single joint, and (3) creating the corresponding relationship between skin and JSLs based on flexible model and multi-joints-binding method (MJBM), that is to say binding one skin vertex to several joints using distance criterion and weight coefficient is the function of distances between the skin vertex to its related joints. All these improvements can make the skin deformation more smoothing. In order to verify the validity of the method we implement the algorithm above proposed using Visual C++ 6.0 and OpenGL language, and the digital hand finger bending and leg kicking deformation are achieved. The experimental results show that the skin deformation is very natural and meets the habit of human self.
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Qingguo Tian, Qingguo Tian, Xiaojie Li, Xiaojie Li, Baozhen Ge, Baozhen Ge, } "Implementation of digital human modeling and skin deformation based on flexible model and multi-joints-binding method", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74961K (30 October 2009); doi: 10.1117/12.832765; https://doi.org/10.1117/12.832765
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