A novel face representation toward pose invariant face recognition

Liang Yu, Sei Ichiro Kamata, Yong Fang

研究成果: Conference contribution

抄録

Though elastic bunch graph matching (EBGM) has a good performance on face recognition in the distortion of facial expression, it is still not robust enough to in-depth rotation. To solve this problem, a novel face representation approach based on the space-filling tree is proposed in this paper. This kind of representation shows a better performance than Elastic bunch graph matching (EBGM) in in-depth rotation of pose especially when there are only frontal images in the training set. With the proposed face representation approach, the face recognition system is built. Experimental results on the FERET standard database show that the proposed face representation approach is more effective and robust to the in-depth rotation of pose when there are only frontal images in the training set.

本文言語English
ホスト出版物のタイトルTENCON 2010 - 2010 IEEE Region 10 Conference
ページ179-183
ページ数5
DOI
出版ステータスPublished - 2010 12 1
イベント2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
継続期間: 2010 11 212010 11 24

出版物シリーズ

名前IEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period10/11/2110/11/24

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

フィンガープリント 「A novel face representation toward pose invariant face recognition」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル