TY - GEN
T1 - Diffuse mirrors: 3D reconstruction from diffuse indirect illumination using inexpensive time-of-flight sensors
AU - Heide, Felix
AU - Xiao, Lei
AU - Heidrich, Wolfgang
AU - Hullin, Matthias B.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2014/6
Y1 - 2014/6
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/564936
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6909808
UR - http://www.scopus.com/inward/record.url?scp=84911449835&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2014.418
DO - 10.1109/CVPR.2014.418
M3 - Conference contribution
SN - 9781479951178; 9781479951178
SP - 3222
EP - 3229
BT - 2014 IEEE Conference on Computer Vision and Pattern Recognition
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -