计算机技术与发展Issue(6)：75-78,82,5.DOI:10.3969/j.issn.1673-629X.2014.06.019
基于SVM和D-S理论的三维人脸识别
3 D Face Recognition Based on SVM and D-S Evidence Theory
摘要
Abstract
In view of the high accuracy classification design problem of 3D face recognition algorithm,use face global features and local features,a total of four independent feature information classification before D-S data fusion technology to realize. The global features (surface profile) and local features (eyes,nose and mouth),a total of four characteristics in the 3D face images for one-on-one single feature recognition is conducted by SVM classier,and the results are normalized data fusion as BPA of D-S evidence theory,calculating the more accurate identification results. The fusion result analysis shows that this algorithm is reliable and effective,greatly improving the recognition efficiency of 3D face.关键词
三维人脸/SVM理论/D-S证据理论/识别Key words
3D face/SVM theory/D-S evidence theory/recognition分类
信息技术与安全科学引用本文复制引用
雷虎,樊泽明..基于SVM和D-S理论的三维人脸识别[J].计算机技术与发展,2014,(6):75-78,82,5.基金项目
国家自然科学基金资助项目(11102162) （11102162）
陕西高等教育教学改革研究(重点)项目(13BZ69) （重点）
