Femto-photography: capturing and visualizing the propagation of light

被引:98
作者
Velten, Andreas
Wu, Di
Jarabo, Adrian
Masia, Belen
Barsi, Christopher
Joshi, Chinmaya
Lawson, Everett
Bawendi, Moungi
Gutierrez, Diego
Raskar, Ramesh
机构
[1] Morgridge Institute for Research, University of Wisconsin at Madison
[2] College of Engineering, Pune
来源
ACM TRANSACTIONS ON GRAPHICS | 2013年 / 32卷 / 04期
基金
美国国家科学基金会;
关键词
Computational photography; Ultrafast imaging;
D O I
10.1145/2461912.2461928
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
We present femto-photography, a novel imaging technique to capture and visualize the propagation of light. With an effective exposure time of 1.85 picoseconds (ps) per frame, we reconstruct movies of ultrafast events at an equivalent resolution of about one half trillion frames per second. Because cameras with this shutter speed do not exist, we re-purpose modern imaging hardware to record an ensemble average of repeatable events that are synchronized to a streak sensor, in which the time of arrival of light from the scene is coded in one of the sensor's spatial dimensions. We introduce reconstruction methods that allow us to visualize the propagation of femtosecond light pulses through macroscopic scenes; at such fast resolution, we must consider the notion of time-unwarping between the camera's and the world's space-time coordinate systems to take into account effects associated with the finite speed of light. We apply our femto-photography technique to visualizations of very different scenes, which allow us to observe the rich dynamics of time-resolved light transport effects, including scattering, specular reflections, diffuse interreflections, diffraction, caustics, and subsurface scattering. Our work has potential applications in artistic, educational, and scientific visualizations; industrial imaging to analyze material properties; and medical imaging to reconstruct subsurface elements. In addition, our time-resolved technique may motivate new forms of computational photography. Copyright © ACM 2013.
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