脸部网络模型的建立是基于模型的人脸合成技术的关键步骤。提出了一种结合自动和交互方式，利用正交图象的三维人脸模型调整算法，首先利用区域增长法和矩形模板匹配确定正面图象中人脸及各特征区域的位置，利用变形模板自动提取人脸完整特征；然后交互地修正人脸特点的准确正面位置，并从侧面图象提取特征点的深度；最后算法自动确定脸部姿态和利用反向距离内插调整模型非特征点，获得输和人脸模型。实验结果表明，该算法简便实用，费时较少，具有一定的实用价值。

Face modeling is an important step in model based face reconstruction. A method adapting the facial wireframe model from two face images(front one and side one) with some user's interaction is proposed in this paper. At first the place of the front face and the feature regions in the front face image are located by region growing and template matching,the deformable templates are used to extract the full facial features. Secondly the exact front positions of features are rectified by hand with a friendly interface, the depth positions of the feature points are defined from side image manually. Finally the rotation of the head is calculated and the model is scaled and the other vertexes of the model are adapted with inverse distance interpolation algorithm with the feature points as the data points and then the input face model is gotten. The test results show that this method is simple and useful.