一种基于三维模型投影的人脸识别新方法

研究了使用三维人脸模型进行不同姿势下的人脸识别问题，提出了一种三维建模二维识别的人脸识别算法，首先使用该方法将三维模型向不同方向投影，进而将不同姿势的二维图像与不同方向的投影结果相匹配，进行人脸识别。研究了使用Minolta Vivid 910进行数据获取，创建三维模型的方法和过程。实验结果表明，在进行不同姿势的人脸识别时，该方法的识别速度快于三维可变形模型方法，识别率远优于使用二维正面图像作为模板的人脸识别方法。

Novel face recognition method based on 3D model projection

A new algorithm that combines 3D face model construction with 2D recognition is proposed. 3D face models are projected to different directions and then a series of 2D face images are obtained. The projected 2D results are used as templates to match the input face images with different poses. The method which constructs 3D face model with 2.5D scans acquired by Minolta vivid 910 is studied and a 3D face database containing 10 persons is built. Experimental results show that the proposed algorithm is faster than 3D deformable model method and is more efficient than the method that uses just front images as templates while dealing with face images with pose variations.