Pose invariant facial component-landmark detection

B. Efraty, M. Papadakis, A. Profitt, S. Shah, I. A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Facial landmark detection has proved to be a very challenging task in biometrics due to the numerous sources of variation. In this work, we present an algorithm for robust detection of facial component-landmarks. Specifically, we address the variation due to extreme pose and illumination. To achieve robust detection for extreme poses, we use a set of independent pose and landmark specific detectors. Each component-landmark detector is applied independently and the information obtained is used to make inferences about the layout of multiple components. In addition, we incorporate a multi-view representation based on an aspect graph approach. The performance of our algorithm is assessed using data from a publicly available database. The failure rate of our method is lower than that of commercially available software.

Original languageEnglish (US)
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Number of pages4
StatePublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: Sep 11 2011Sep 14 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011


  • bag-of-words
  • component-landmarks
  • Facial landmarks
  • pose invariant

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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