TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality |
| 영문제목(English Title) |
Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality |
| 저자(Author) |
Changkyoung Eem
Iksu Kim
Yeongseok Jung
Hyunki Hong
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| 원문수록처(Citation) |
VOL 09 NO. 06 PP. 2289 ~ 2301 (2015. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Mobile devices are becoming powerful enough to realize augmented reality (AR) application. This paper introduces two AR methods to estimate an environmental illumination distribution of a scene. In the first method, we extract the lighting direction and intensity from input images captured with a front-side camera of a mobile device, using its orientation sensor. The second method extracts shadow regions cast by three dimensional (3D) AR marker of known shape and size. Because previous methods examine per pixel shadow intensity, their performances are much affected by the number of sampling points, positions, and threshold values. By using a simple binary operation between the previously clustered shadow regions and the threshold real shadow regions, we can compute efficiently their relative area proportions according to threshold values. This area-based method can overcome point sampling problem and threshold value selection. Experiment results demonstrate that the proposed methods generate natural image with multiple smooth shadows in real-time
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| 키워드(Keyword) |
Augmented reality
mobile device
orientation sensor
illumination distribution
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| 파일첨부 |
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