Predicting occupation from single facial images

Wei Ta Chu, Chih Hao Chiu

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Facial images embed age, gender, and other rich information that is implicitly related to occupation. In this work, we advocate that occupation prediction from a single facial image is a doable research direction. We first extract visual features from multiple levels of patches and describe them by locality-constrained linear coding. To avoid the curse of dimensionality and over fitting, a boost strategy called multi-feature SVM is used to integrate features. Intra-class and inter-class visual variations are jointly considered in the boosting framework to further improve performance. In the evaluation, we verify that this is a promising research topic with encouraging performance, and also discuss interesting issues from various perspectives.

原文English
主出版物標題Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面9-12
頁數4
ISBN(電子)9781479943111
DOIs
出版狀態Published - 2015 二月 5
事件16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan
持續時間: 2014 十二月 102014 十二月 12

出版系列

名字Proceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

Conference

Conference16th IEEE International Symposium on Multimedia, ISM 2014
國家Taiwan
城市Taichung
期間14-12-1014-12-12

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software
  • Media Technology

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