DocumentCode :
254269
Title :
Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors
Author :
Heide, Felix ; Lei Xiao ; Heidrich, Wolfgang ; Hullin, Matthias B.
fYear :
2014
fDate :
23-28 June 2014
Firstpage :
3222
Lastpage :
3229
Abstract :
The functional difference between a diffuse wall and a mirror is well understood: one scatters back into all directions, and the other one preserves the directionality of reflected light. The temporal structure of the light, however, is left intact by both: assuming simple surface reflection, photons that arrive first are reflected first. In this paper, we exploit this insight to recover objects outside the line of sight from second-order diffuse reflections, effectively turning walls into mirrors. We formulate the reconstruction task as a linear inverse problem on the transient response of a scene, which we acquire using an affordable setup consisting of a modulated light source and a time-of-flight image sensor. By exploiting sparsity in the reconstruction domain, we achieve resolutions in the order of a few centimeters for object shape (depth and laterally) and albedo. Our method is robust to ambient light and works for large room-sized scenes. It is drastically faster and less expensive than previous approaches using femtosecond lasers and streak cameras, and does not require any moving parts.
Keywords :
image sensors; light sources; mirrors; 3D reconstruction; ambient light; diffuse indirect illumination; diffuse mirrors; diffuse wall; femtosecond lasers; linear inverse problem; modulated light source; object shape; reconstruction domain; reconstruction task; reflected light directionality; room-sized scenes; second-order diffuse reflection; streak cameras; surface reflection; temporal structure; time-of-flight image sensor; time-of-flight sensors; transient response; Cameras; Geometry; Image reconstruction; Lighting; Mathematical model; Sensors; Transient analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
Conference_Location :
Columbus, OH
Type :
conf
DOI :
10.1109/CVPR.2014.418
Filename :
6909808
Link To Document :
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