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Gaze estimation by image matching with eye-ball model CG

Research Project

Project/Area Number 25560105
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Educational technology
Research InstitutionTokyo Institute of Technology

Principal Investigator

NISHIHARA Akinori  東京工業大学, 社会理工学研究科, 教授 (90114884)

Research Collaborator TAKAHASHI Shota  
HASUMI Kozue  
Project Period (FY) 2013-04-01 – 2015-03-31
Project Status Completed (Fiscal Year 2014)
Budget Amount *help
¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Keywords視線推定 / 画像処理 / 眼球モデル / 視線検出 / 完全受動型
Outline of Final Research Achievements

We proposed and developed an eye-gaze estimation system from a human face image shot by a normal camera.Gaze direction is estimated by adopting parameters that minimize error between an eye image and a CG image. The eye region is trimmed by using human face feature points. The CG image has angles of eye-ball rotation and openness of eyelids as the parameters. The best parameters are searched so that the zero-mean normalized cross-correlation between the shot image and the CG is minimized.
In the experiment, subject's head were fixed first. Average estimation errors are not very different when subjects gaze upward, but when gazing horizontal direction and downward, the errors are made small by using the eyelid model. Next, we conducted experiment that allow subjects to freely move their heads. Gaze direction must be calculated using all the parts of the proposed system. In this case average estimation error became large. Individual differences seem to reduce the accuracy.

Report

(3 results)
  • 2014 Annual Research Report   Final Research Report ( PDF )
  • 2013 Research-status Report

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Published: 2014-07-25   Modified: 2019-07-29  

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