Towards accurate and robust cross-ratio based gaze trackers through learning from simulation

Jia Bin Huang, Qin Cai, Zicheng Liu, Narendra Ahuja, Zhengyou Zhang

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

Abstract

remote gaze estimation using a single camera in an uncalibrated setup by exploiting invariance of a plane projectivity. Unfortunately, due to several simplification assumptions, the performance of CR-based eye gaze trackers decays significantly as the subject moves away from the calibration position. In this paper, we introduce an adaptive homography mapping for achieving gaze prediction with higher accuracy at the calibration position and more robustness under head movements. This is achieved with a learningbased method for compensating both spatially-varying gaze errors and head pose dependent errors simultaneously in a unified framework. The model of adaptive homography is trained offline using simulated data, saving a tremendous amount of time in data collection. We validate the effectiveness of the proposed approach using both simulated and real data from a physical setup. We show that our method compares favorably against other state-of-the-art CR based methods.

Original languageEnglish (US)
Title of host publicationProceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014
PublisherAssociation for Computing Machinery
Pages75-82
Number of pages8
ISBN (Print)9781450327510
DOIs
StatePublished - Jan 1 2014
Event8th Symposium on Eye Tracking Research and Applications, ETRA 2014 - Safety Harbor, FL, United States
Duration: Mar 26 2014Mar 28 2014

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Other

Other8th Symposium on Eye Tracking Research and Applications, ETRA 2014
CountryUnited States
CitySafety Harbor, FL
Period3/26/143/28/14

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Keywords

  • Cross-ratio
  • Eye gaze tracking
  • Simulation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

Cite this

Huang, J. B., Cai, Q., Liu, Z., Ahuja, N., & Zhang, Z. (2014). Towards accurate and robust cross-ratio based gaze trackers through learning from simulation. In Proceedings of the Symposium on Eye Tracking Research and Applications, ETRA 2014 (pp. 75-82). (Eye Tracking Research and Applications Symposium (ETRA)). Association for Computing Machinery. https://doi.org/10.1145/2578153.2578162