3D Face Expression Estimation and Generation from 2D Image Based on a Physically Constraint Model

概要

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Muscle based face image synthesis is one of the most realistic approaches to the realization of a life-like agent in computers. A facial muscle model is composed of facial tissue elements and simulated muscles. In this model, forces are calculated effecting a facial tissue element by contraction of each muscle string, so the combination of each muscle contracting force decides a specific facial expression. This muscle parameter is determined on a trial and error basis by comparing the sample photograph and a generated image using our Muscle-Editor to generate a specific face image, In this paper, we propose the strategy of automatic estimation of facial muscle parameters from 2D markers'movements located on a face using neural network. This corresponds to the non-realtime 3D facial motion capturing from 2D camera image under the physics based condition.
社団法人電子情報通信学会の論文
2000-02-25