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Eye landmark detection with 3D geometric information
This project is aiming to provide accurate 3D eye landmark detection in a VR headset environment. This project is a collaboration between ETH Zurich and the University of Geneva.
Keywords: eye landmark detection, eye region segmentation, VR headset
Human eye gaze is an important cue for human cognitive statement. In this project, we have close collaboration with the University of Geneva about eye gaze estimation in healthcare. Your task is to develop a method for accurate eye landmark detection from the data captured in a VR headset. The eye landmarks include the pupil, the iris and the eyeball centre. We will improve the current state-of-the-art eye region segmentation method with semantic information of the eyeball structure. Especially, we aim to tackle challenging cases such as the occlusion of the pupil. You will use computer vision and deep learning technology for this task. The detection results will be consumed and used for the psychological study.
Human eye gaze is an important cue for human cognitive statement. In this project, we have close collaboration with the University of Geneva about eye gaze estimation in healthcare. Your task is to develop a method for accurate eye landmark detection from the data captured in a VR headset. The eye landmarks include the pupil, the iris and the eyeball centre. We will improve the current state-of-the-art eye region segmentation method with semantic information of the eyeball structure. Especially, we aim to tackle challenging cases such as the occlusion of the pupil. You will use computer vision and deep learning technology for this task. The detection results will be consumed and used for the psychological study.
Develop an accurate eye landmark detection method for VR headset.
**Prerequisites**: Deep learning basics
Develop an accurate eye landmark detection method for VR headset. **Prerequisites**: Deep learning basics