【15-37期VALSE Webinar活动】 
报告嘉宾：薛天帆（MIT CS Dept）
报告时间：2015年12月09日（星期三）晚21:00（北京时间）
报告题目：A Computational Approach for Obstruction-Free Photography [Slides]
主持人：左旺孟（哈尔滨工业大学）
报告摘要：
We present a unified computational approach for taking photos through reflecting or occluding elements such as windows and fences. Rather than capturing a single image, we instruct the user to take a short image sequence while slightly moving the camera. Differences that often exist in the relative position of the background and the obstructing elements from the camera allow us to separate them based on their motions, and to recover the desired background scene as if the visual obstructions were not there. We show results on controlled experiments and many real and practical scenarios, including shooting through reflections, fences, and raindrop-covered windows.
参考文献：
[1] Tianfan Xue, Michael Rubinstein, Ce Liu, William T. Freeman, A Computational Approach for Obstruction-Free Photography, ACM SIGGRAPH 2015.
报告人简介：
Tianfan Xue is currently a fourth-year Ph.D. student in MIT CSAIL, working with William T. Freeman. Before that, he received his B.E. degree from Tsinghua Universtiy, and M.Phil. degree from The Chinese University of Hong Kong. His research interests include computer vision, image processing, and machine learning.
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