A method of head pose estimation based on Active Shape Model and stereo vision

Yao Chen*, Mengyin Fu, Yi Yang, Wenjie Song

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents a method of head pose estimation based on Active Shape Model (ASM) and stereo vision. The relationship between image coordinate system and global coordinate system is outlined in order to get prepared for mapping key landmarks from the former one to the latter one. We utilize Active Shape Model to locate 77 facial landmarks in both left and right images, and implement stereo matching by obtaining disparities directly from the landmarks in the same polar lines. The advantages of the algorithm in accuracy and real-time are manifested by experiments. The head pose is decomposed into pith, yaw and roll, and we use geometric relationship between facial landmarks and the angle around each axis of global coordinate system to estimate head pose. In addition, roll angle compensation method is brought up to expand roll detection range. Finally, we verify the rationality of our proposed head pose estimation method by experiments.

Original languageEnglish
Title of host publicationProceedings of the 33rd Chinese Control Conference, CCC 2014
EditorsShengyuan Xu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages8277-8282
Number of pages6
ISBN (Electronic)9789881563842
DOIs
Publication statusPublished - 11 Sept 2014
EventProceedings of the 33rd Chinese Control Conference, CCC 2014 - Nanjing, China
Duration: 28 Jul 201430 Jul 2014

Publication series

NameProceedings of the 33rd Chinese Control Conference, CCC 2014
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

ConferenceProceedings of the 33rd Chinese Control Conference, CCC 2014
Country/TerritoryChina
CityNanjing
Period28/07/1430/07/14

Keywords

  • Active shape model
  • Facial landmarks
  • Geometric relationships
  • Head pose
  • Stereo vision

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