VRank: Voting system on Ranking model for human age estimation

Tekoing Lim, Kai Lung Hua, Hong Cyuan Wang, Kai Wen Zhao, Min Chun Hu, Wen Huang Cheng

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Ranking algorithms have proven the potential for human age estimation. Currently, a common paradigm is to compare the input face with reference faces of known age to generate a ranking relation whereby the first-rank reference is exploited for labeling the input face. In this paper, we proposed a framework to improve upon the typical ranking model, called Voting system on Ranking model (VRank), by leveraging relational information (comparative relations, i.e. if the input face is younger or older than each of the references) to make a more robust estimation. Our approach has several advantages: firstly, comparative relations can be explicitly involved to benefit the estimation task; secondly, few incorrect comparisons will not influence much the accuracy of the result, making this approach more robust than the conventional approach; finally, we propose to incorporate the deep learning architecture for training, which extracts robust facial features for increasing the effectiveness of classification. In comparison to the best results from the state-of-the-art methods, the VRank showed a significant outperformance on all the benchmarks, with a relative improvement of 5.74% ∼ 69.45% (FG-NET), 19.09% ∼ 68.71% (MORPH), and 0.55% ∼ 17.73% (IoG).

原文English
主出版物標題2015 IEEE 17th International Workshop on Multimedia Signal Processing, MMSP 2015
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781467374781
DOIs
出版狀態Published - 2015 十一月 30
事件17th IEEE International Workshop on Multimedia Signal Processing, MMSP 2015 - Xiamen, China
持續時間: 2015 十月 192015 十月 21

出版系列

名字2015 IEEE 17th International Workshop on Multimedia Signal Processing, MMSP 2015

Other

Other17th IEEE International Workshop on Multimedia Signal Processing, MMSP 2015
國家/地區China
城市Xiamen
期間15-10-1915-10-21

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 媒體技術

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