Evolutionary head pose measurement by stereo model matching

Wei Song, Mamoru Minami, Yasushi Mae

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


This paper presents a method to estimate the 3D pose of a human's head using two images input from two stereo cameras. The proposed method utilizes an evolutionary search technique of genetic algorithm (GA) and a fitness evaluation based on a matching stereo model. Here, the head position is detected by an optimization of the computation of the brightness difference between an internal surface of head and a contour-strips, meanwhile, the head orientation is measured using color information about the skin region and the hair region of the input images. Moreover, the human's eyes, as one of the facial features are also recognized to improve the robustness of head pose measurement. Experiments to estimate three different pose of an arbitrary person's head have been conducted to show the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Number of pages6
Publication statusPublished - 2005
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: Aug 8 2005Aug 10 2005


OtherSICE Annual Conference 2005



  • 3D pose measurement
  • GA
  • Matching model

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Song, W., Minami, M., & Mae, Y. (2005). Evolutionary head pose measurement by stereo model matching. In Proceedings of the SICE Annual Conference (pp. 2871-2876)