A radiosity method for non-diffuse environments
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
A signal-processing framework for inverse rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2005 Papers
A Theory of Inverse Light Transport
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Fast separation of direct and global components of a scene using high frequency illumination
ACM SIGGRAPH 2006 Papers
A Theory of Refractive and Specular 3D Shape by Light-Path Triangulation
International Journal of Computer Vision
Computing depth under ambient illumination using multi-shuttered light
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Primal-dual coding to probe light transport
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Femto-photography: capturing and visualizing the propagation of light
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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We propose a novel framework called transient imaging for image formation and scene understanding through impulse illumination and time images. Using time-of-flight cameras and multi-path analysis of global light transport, we pioneer new algorithms and systems for scene understanding through time images. We demonstrate that our proposed transient imaging framework allows us to accomplish tasks that are well beyond the reach of existing imaging technology. For example, one can infer the geometry of not only the visible but also the hidden parts of a scene, enabling us to look around corners. Traditional cameras estimate intensity per pixel I(x,y). Our transient imaging camera captures a 3D time-image I(x,y,t) for each pixel and uses an ultra-short pulse laser for illumination. Emerging technologies are supporting cameras with a temporal-profile per pixel at picosecond resolution, allowing us to capture an ultra-high speed time-image. This time-image contains the time profile of irradiance incident at a sensor pixel. We experimentally corroborated our theory with free space hardware experiments using a femtosecond laser and a picosecond accurate sensing device. The ability to infer the structure of hidden scene elements, unobservable by both the camera and illumination source, will create a range of new computer vision opportunities.