Multi balanced trees for face retrieval from image database

Pengyi Hao, Sei Ichiro Kamata

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

We are interested here in retrieving images containing a specific person in image database. Due to large variations in illumination conditions, hairstyles, facial expressions, etc. and the factors like occlusion, sunglasses, profile, etc., robust face matching has been a challenging problem. On the other hand, the speed of search is also a considerable issue, especially for the dataset with millions of face images. Inspired by face tracks in video retrieval which take advantages from the abundance of frames to get multiple exemplars, we present an approach named multi balanced trees for face retrieval from image dataset in this paper. Face images in the dataset are efficiently organized by the trees produced for persons. Multi sampling on the facial components employs the rich local information, which can help to differentiate different persons. Given a query face, a sorted face set with similarities is obtained by inserting the query into a tree. It is easy and fast to get the search results in respect that it avoids calculating the distances between query and elements in the cluster. In addition, a rectification strategy is given in the query process to rectify the error occurred in the generation of trees, resulting in a significant improvement of retrieval quality. Experimental results show the better face grouping ability in comparison with traditional methods. The speed of searching is improved as well.

本文言語English
ホスト出版物のタイトル2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
ページ484-489
ページ数6
DOI
出版ステータスPublished - 2011 12 1
イベント2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 - Kuala Lumpur, Malaysia
継続期間: 2011 11 162011 11 18

出版物シリーズ

名前2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011

Conference

Conference2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
CountryMalaysia
CityKuala Lumpur
Period11/11/1611/11/18

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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