Imaging Components, Systems, and Processing

Affine registration of three-dimensional point sets for improving the accuracy of eye position trackers

[+] Author Affiliations
Donghoon Kang, Jinwook Kim, Sung-Kyu Kim

Korea Institute of Science and Technology (KIST), Imaging Media Research Center, Seoul, Republic of Korea

Opt. Eng. 56(4), 043105 (Apr 20, 2017). doi:10.1117/1.OE.56.4.043105
History: Received September 21, 2016; Accepted April 5, 2017
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Abstract.  Existing methods for tracking three-dimensional (3-D) eye positions with a monocular color camera mostly rely on a generic 3-D face model and a certain face database. However, the performance of these methods is susceptible to the variations of head poses. For this reason, existing methods for estimating 3-D eye position from a single two-dimensional face image may yield erroneous results. To improve the accuracy of 3-D eye position trackers using a monocular camera, we present a compensation method as a postprocessing technique. We address the problem of determining an optimal registration function for fitting 3-D data consisting of the inaccurate estimates from the eye position tracker and their corresponding ground truths. To obtain the ground truths of 3-D eye positions, we propose two different systems by combining an optical motion capture system and checkerboards, which construct the form of the hand-eye and robot-world calibration. By solving a least-squares optimization problem, we can determine the optimal registration function in an affine form. Real experiments demonstrate that the proposed method can considerably improve the accuracy of 3-D eye position trackers using a single color camera.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Topics

Cameras ; Eye ; Calibration ; Robots

Citation

Donghoon Kang ; Jinwook Kim and Sung-Kyu Kim
"Affine registration of three-dimensional point sets for improving the accuracy of eye position trackers", Opt. Eng. 56(4), 043105 (Apr 20, 2017). ; http://dx.doi.org/10.1117/1.OE.56.4.043105


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