On high-precision chessboard detection on static scene videos from mobile eye-tracking devices
Eye-tracking analysis require annotation of a scene video by information on the target of the gaze. We develop a technique for automatic high-precision scene annotation for mobile head-mounted eye-trackers. The solution combines computer-vision techniques for scene recognition, 3-D modeling of the r...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2017-11-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/fruct21/files/Afa1.pdf
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