Evaluation of head pose estimation for studio data

Jilin Tu, Yun Fu, Yuxiao Hu, Thomas Huang

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

Abstract

This paper introduces our head pose estimation system that localizes nose-tip of the faces and estimate head poses in studio quality pictures. After the nose-tip in the training data are manually labeled, the appearance variation caused by head pose changes is characterized by tensor model. Given images with unknown head pose and nose-tip location, the nose-tip of the face is localized in a coarse-to-fine fashion, and the head pose is estimated simultaneously by the head pose tensor model. The image patches at the localized nose tips are then cropped and sent to two other head pose estimators based on LEA and PCA techniques. We evaluated our system on the Pointing'04 head pose image database. With the nose-tip location known, our head pose estimators can achieve 94-96% head pose classification accuracy(within ±15°). With nose-tip unknown, we achieves 85% nose-tip localization accuracy(within 3 pixels from the ground truth), and 81-84% head pose classification accuracy(within ±15°).

Original languageEnglish (US)
Title of host publicationMultimodal Technologies for Perception of Humans - First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 Revised Selected Papers
PublisherSpringer-Verlag Berlin Heidelberg
Pages281-290
Number of pages10
ISBN (Print)9783540695677
DOIs
StatePublished - Jan 1 2007
Event1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006 - Southhampton, United Kingdom
Duration: Apr 6 2006Apr 7 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4122 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006
CountryUnited Kingdom
CitySouthhampton
Period4/6/064/7/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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