2015年
NON-CALIBRATED AND REAL-TIME HUMAN VIEW ESTIMATION USING A MOBILE CORNEAL IMAGING CAMERA
2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
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- 開始ページ
- 1
- 終了ページ
- 4
- 記述言語
- 英語
- 掲載種別
- 研究発表ペーパー・要旨(国際会議)
- 出版者・発行元
- IEEE
We present a mobile human view estimation system using a corneal imaging technique. Compared to the current eye gaze tracking (EGT) systems, our system does not require per-session calibrations and a frontal view (scene) camera, making it suitable for wearable glass systems because it is easier to use and more socially acceptable due to the lack of a frontal scene camera. Our glasses system consists of a glass frame and a micro eye camera that captures the eye (corneal) reflections of a user. 3D corneal pose tracking is performed for the captured images by using a particle filter-based real-time tracking method leveraged by a 3D eye model and weak perspective projection. We then compute the gaze reflection point (GRP) where the light from the point of gaze (PoG) is reflected, enabling us to identify where a user is looking in a scene image reflected on the corneal surface. We conducted experiments using a standard computer display setup and several real-world scenes, and found that the proposed method performs with considerable accuracy under non-calibrated setups. This demonstrates its potential for various purposes such as the user interface of a glasses systems and the analysis of human perceptions in actual scenes for marketing, environmental design, and quality-of-life applications.
- リンク情報
- ID情報
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- ISSN : 2330-7927
- Web of Science ID : WOS:000380531100106