10 August 2015 Robust remote gaze estimation method based on multiple geometric transforms
Chunfei Ma, Kang-A Choi, Byeong-Doo Choi, Sung-Jea Ko
Author Affiliations +
Abstract
The remote gaze estimation (RGE) technique has been widely used as a natural interface in consumer electronic devices for decades. Although outstanding outcomes on RGE have been recently reported in the literature, tracking gaze under large head movements is still an unsolved problem. General RGE methods estimate a user’s point of gaze (POG) using a mapping function representing the relationship between several infrared light sources and their corresponding corneal reflections (CRs) in the eye image. However, the minimum number of available CRs required for a valid POG estimation cannot be satisfied in those methods because the CRs often tend to be distorted or disappeared inevitably under the unconstrained eye and head movements. To overcome this problem, a multiple-transform-based method is proposed. In the proposed method, through three different geometric transform-based normalization processes, several nonlinear mapping functions are simultaneously obtained in the calibration process and then used to estimate the POG. The geometric transforms and mapping functions can be alternatively employed according to the number of available CRs even under large head movement. Experimental results on six subjects demonstrate the effectiveness of the proposed method.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286 /2015/$25.00 © 2015 SPIE
Chunfei Ma, Kang-A Choi, Byeong-Doo Choi, and Sung-Jea Ko "Robust remote gaze estimation method based on multiple geometric transforms," Optical Engineering 54(8), 083103 (10 August 2015). https://doi.org/10.1117/1.OE.54.8.083103
Published: 10 August 2015
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CITATIONS
Cited by 9 scholarly publications and 2 patents.
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KEYWORDS
Chromium

Head

Calibration

Transform theory

Eye

Distortion

Reliability

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