CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation
- URL: http://arxiv.org/abs/2408.17231v1
- Date: Fri, 30 Aug 2024 12:17:49 GMT
- Title: CondSeg: Ellipse Estimation of Pupil and Iris via Conditioned Segmentation
- Authors: Zhuang Jia, Jiangfan Deng, Liying Chi, Xiang Long, Daniel K. Du,
- Abstract summary: Parsing eye components (i.e. pupil, iris and sclera) is fundamental for eye tracking and gaze estimation for AR/VR products.
In this paper, we consider two priors: projected full pupil/iris circle can be modelled with ellipses (ellipse prior), and the visibility of pupil/iris is controlled by openness of eye-region.
We propose CondSeg to estimate elliptical parameters of pupil/iris directly from segmentation labels, without explicitly annotating full ellipses.
- Score: 9.680930476240674
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Parsing of eye components (i.e. pupil, iris and sclera) is fundamental for eye tracking and gaze estimation for AR/VR products. Mainstream approaches tackle this problem as a multi-class segmentation task, providing only visible part of pupil/iris, other methods regress elliptical parameters using human-annotated full pupil/iris parameters. In this paper, we consider two priors: projected full pupil/iris circle can be modelled with ellipses (ellipse prior), and the visibility of pupil/iris is controlled by openness of eye-region (condition prior), and design a novel method CondSeg to estimate elliptical parameters of pupil/iris directly from segmentation labels, without explicitly annotating full ellipses, and use eye-region mask to control the visibility of estimated pupil/iris ellipses. Conditioned segmentation loss is used to optimize the parameters by transforming parameterized ellipses into pixel-wise soft masks in a differentiable way. Our method is tested on public datasets (OpenEDS-2019/-2020) and shows competitive results on segmentation metrics, and provides accurate elliptical parameters for further applications of eye tracking simultaneously.
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