You are here:   Program

Corporate Donors

Sony make.believe

General Electric

Lakeside Labs

Copy BibTeX Entry

@INPROCEEDINGS{AVSS2011_1569430259,
  author = {Antitza Dantcheva and Jean-Luc Dugelay},
  title = {{Frontal-to-side face re-identification based on hair, skin and clothes
patches}},
  booktitle = {2011 8th IEEE International Conference on 
	Advanced Video and Signal-Based Surveillancei (AVSS)},
  year = {2011},
  pages = {5},
  month = {Aug.},
  abstract = {
Despite recent advances, face-recognition algorithms are still challenged
when applied in the setting of video surveillance systems which inherently
introduce variations in the pose of subjects. The work addresses this
problem, and seeks to provide recognition algorithms that are specifically
suited for this frontal-to-side recognition setting. Deviating from
classical biometric approaches, the proposed method considers color-based
soft biometric traits, specifically those taken from patches of hair, skin
and clothes. The proposed methods and the suitability of these patch-based
traits are then validated both analytically and empirically.
  }
}