图 书 馆
用于面部验证的Tom-vs-Pete分类器和身份保持对齐Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification |
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| 课程网址: | http://videolectures.net/bmvc2012_berg_face_verification/ |
| 主讲教师: | Thomas Berg |
| 开课单位: | 哥伦比亚大学 |
| 开课时间: | 2012-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a method of face verification that takes advantage of a reference set of faces, disjoint by identity from the test faces, labeled with identity and face part locations. The reference set is used in two ways. First, we use it to perform an “identity-preserving” alignment, warping the faces in a way that reduces differences due to pose and expression but preserves differences that indicate identity. Second, using the aligned faces, we learn a large set of identity classifiers, each trained on images of just two people. We call these “Tom-vs-Pete” classifiers to stress their binary nature. We assemble a collection of these classifiers able to discriminate among a wide variety of subjects and use their outputs as features in a same-or-different classifier on face pairs. We evaluate our method on the Labeled Faces in the Wild benchmark, achieving an accuracy of 93.10%, significantly improving on the published state of the art. |
| 关 键 词: | 面部验证方法; 身份脱节; 面部位置标记 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-01-31：nkq |
| 阅读次数: | 39 |