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in-situ Lighting and Reflectance Estimation for indoor AR systems

SCHEDULE INFORMATION

Event TitleRoomStartEnd
Demos and PostersTBA02 Oct, 2013 01:30 PM02 Oct, 2013 04:30 PM
Contributors: 
Tomohiro Mashita
Contributors: 
Hiroyuki Yasuhara
Contributors: 
Alexander Plopski
Contributors: 
Kiyoshi Kiyokawa
Contributors: 
Haruo Takemura
Description
We introduce an in-situ lighting and reflectance estimation method that does not require specific light probes and/or preliminary scanning. Our method uses images taken from multiple viewpoints while data accumulation and lighting and reflectance estimations run in the background of the primary AR system. As a result, our method requires little in the way of manipulations for image collection because it consists primarily of image processing and optimization. When used, lighting directions and initial optimization values are estimated via image processing. Eventually, the full parameters are obtained by optimization of the differences between real images. This system uses current best parameters because the parameter estimation and input image updates are run independently.