Reconfiguration of face expressions based on the discrete capture data of radial basis function interpolation |
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Authors: | ZHENG Guangguo ZHOU Dongsheng WEI Xiaopeng and ZHANG Qiang |
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Affiliation: | Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education,Dalian University,Dalian 116622,China |
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Abstract: | Compactly supported radial basis function can enable the coefficient matrix of solving weigh linear system to have a sparse banded structure,thereby reducing the complexity of the algorithm.Firstly,based on the compactly supported radial basis function,the paper makes the complex quadratic function(Multiquadric,MQ for short) to be transformed and proposes a class of compactly supported MQ function.Secondly,the paper describes a method that interpolates discrete motion capture data to solve the motion vectors of the interpolation points and they are used in facial expression reconstruction.Finally,according to this characteristic of the uneven distribution of the face markers,the markers are numbered and grouped in accordance with the density level,and then be interpolated in line with each group.The approach not only ensures the accuracy of the deformation of face local area and smoothness,but also reduces the time complexity of computing. |
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Keywords: | compactly supported radial basis function interpolation motion capture face expressions reconfiguration |
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