Auto-Calibrated Gaze Estimation Using Human Gaze Patterns
作者: Fares AlnajarTheo GeversRoberto ValentiSennay Ghebreab
作者单位: 1University of Amsterdam
2Amsterdam University College
刊名: International Journal of Computer Vision, 2017, Vol.124 (2), pp.223-236
来源数据库: Springer Nature Journal
DOI: 10.1007/s11263-017-1014-x
关键词: Eye gaze estimationCalibration freeAuto-calibration
原始语种摘要: We present a novel method to auto-calibrate gaze estimators based on gaze patterns obtained from other viewers. Our method is based on the observation that the gaze patterns of humans are indicative of where a new viewer will look at. When a new viewer is looking at a stimulus, we first estimate a topology of gaze points (initial gaze points). Next, these points are transformed so that they match the gaze patterns of other humans to find the correct gaze points. In a flexible uncalibrated setup with a web camera and no chin rest, the proposed method is tested on ten subjects and ten images. The method estimates the gaze points after looking at a stimulus for a few seconds with an average error below \(4.5^{\circ }\) . Although the reported performance is lower than what could be achieved...
全文获取路径: Springer Nature  (合作)
影响因子:3.623 (2012)

  • calibrate 校准
  • flexible 接电绳
  • points 
  • viewer 观察器
  • looking 
  • initialization 初始化
  • camera 摄影机
  • match 比赛
  • calibration 校准
  • hardware 硬件