摘要
In this paper we propose a novel method for building animation model of realhuman body from surface scanned data. The human model is represented by a triangular mesh anddescribed as a layered geometric model. The model consists of two layers: the control skeletongenerating body animation from motion capture data, and the simplified surface model providing anefficient representation of the skin surface shape. The skeleton is generated automatically fromsurface scanned data using the feature extraction, and then a point-to-line mapping is used to mapthe surface model onto the underlying skeleton. The resulting model enables real-time and smoothanimation by manipulation of the skeleton while maintaining the surface detail. Compared withearlier approach, the principal advantages of our approach are the automated generation of bodycontrol skeletons from the scanned data for real-time animation, and the automatic mapping andanimation of the captured human surface shape. The human model constructed in this work can be usedfor applications of ergonomic design, garment CAD, real-time simulating humans in virtual realityenvironment and so on.
In this paper we propose a novel method for building animation model of realhuman body from surface scanned data. The human model is represented by a triangular mesh anddescribed as a layered geometric model. The model consists of two layers: the control skeletongenerating body animation from motion capture data, and the simplified surface model providing anefficient representation of the skin surface shape. The skeleton is generated automatically fromsurface scanned data using the feature extraction, and then a point-to-line mapping is used to mapthe surface model onto the underlying skeleton. The resulting model enables real-time and smoothanimation by manipulation of the skeleton while maintaining the surface detail. Compared withearlier approach, the principal advantages of our approach are the automated generation of bodycontrol skeletons from the scanned data for real-time animation, and the automatic mapping andanimation of the captured human surface shape. The human model constructed in this work can be usedfor applications of ergonomic design, garment CAD, real-time simulating humans in virtual realityenvironment and so on.
基金
国家自然科学基金,高等学校博士学科点专项科研项目