3D FACE RECOGNITION BASED ON DECISION FUSION

摘要：

In this paper, we propose the algorithm of 3D face recognition based on decision fusion.In the algorithm, firstly, it uses PCA or LPP to extract the features of 2D normalized grey image and compute Euclidean distance between the testing sample and the training sample as one matching score.We process the 3D depth image with multilevel B-splines approximation and ICP method correction.Then we can obtain another matching score by using PCA or LPP to extract the features of 3D depth image.Finally, decision fusion results can be gained by fusing the two scores.The experimental results indicate that the recognition rate of the decision fusion method which uses LPP to extract the 3D image features is higher than any single algorithm, and the recognition performance is improved greatly.

关键词： Face recognition Decision fusion Euclidean distance matching score

作者: RONGQING ZHONG JING LI

作者单位: Xiamen Branch,China Telecom Corporation Limited Xiamen,Fujian,China Department of Computer Science,Xiamen University,Xiamen,Fujian,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1815-1819

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）