CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation
Ting, liu; Zhen, Lei; Jun, Wan; Stan Z. Li
2015-10
Conference NameChinese Conference on Biometric
Source PublicationSpringer---Lecture Notes in Computer Sciences
Conference Date2015-11
Conference Place天津滨海新区
AbstractAge estimation is an important part of biometric recognition. In this paper, we propose a stacked structure called Discriminant Face Descriptor network (DFDnet) to learn the most discriminative and related features to age variation. Firstly, we extract the multi-stage Discriminant Face Descriptor (DFD) features which is age-sensitive.We first introduce DFD for facial age estimation instead of original face recognition. Then the bag of features-based method is used and then each image can be represented by the concatenated vector (or the histogram of visual words). Finally, age estimation is achieved via simple linear regression algorithm. Experiments on the publicly available MORPH and FG-NET databases validate the effectiveness of our proposed DFDnet method. To further illuminate the usefulness of our approach in unconstrained environments, we also conduct the experiment on Cross-Age Celebrity Dataset (CACD) collected from Internet movie database (IMDB).
KeywordAge Estimation Discriminant Face Description (Dfd) Bag Of Features (bOf) Dfd Network
DOI10.1007/978-3-319-25417-3_76
Indexed ByEI
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11536
Collection模式识别国家重点实验室_生物识别与安全技术研究
Corresponding AuthorStan Z. Li
Affiliation中科院自动化研究所模式识别国家重点实验室
Recommended Citation
GB/T 7714
Ting, liu,Zhen, Lei,Jun, Wan,et al. DFDnet: Discriminant Face Descriptor Network for Facial Age Estimation[C],2015.
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