We introduce a technique for improving photographs using inverse lighting,
a new process based on algorithms devel-
oped in computer graphics for computing the reflection of light in
3D space.
From a photograph and a 3D surface model for the object pictured,
inverse lighting estimates the directional distribution of the incident
light. We then use this information to process the photograph digitally
to alter the lighting on the object.
Inverse lighting is a specific example of the general idea of inverse
rendering. This refers to the practice of using the methods of computer
graphics, which normally are used to render images from scene information,
to infer scene information from images. Our system uses physi-
cally based rendering technology to construct a linear least squares
system that we solve to find the lighting. As an application, the
results are then used to simulate a change in the incident light
in the photograph.
An implementation is described that uses 3D models from a laser range
scanner and photographs from a highresolution color CCD camera. We
demonstrate the system on a simple test object and a human face.
%0 Journal Article
%1 Marschner1997
%A Marschner, Stephen R.
%A Greenberg, Donald P.
%D 1997
%J Fifth Color Imaging Conference
%K imported
%P year = 1997,
262--265
%R 10.1.1.33.8191
%T Inverse Lighting for Photography
%U http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=DF455572EAADC8EE6E89736CD75EC7A9?doi=10.1.1.33.8191&rep=rep1&type=pdf
%X We introduce a technique for improving photographs using inverse lighting,
a new process based on algorithms devel-
oped in computer graphics for computing the reflection of light in
3D space.
From a photograph and a 3D surface model for the object pictured,
inverse lighting estimates the directional distribution of the incident
light. We then use this information to process the photograph digitally
to alter the lighting on the object.
Inverse lighting is a specific example of the general idea of inverse
rendering. This refers to the practice of using the methods of computer
graphics, which normally are used to render images from scene information,
to infer scene information from images. Our system uses physi-
cally based rendering technology to construct a linear least squares
system that we solve to find the lighting. As an application, the
results are then used to simulate a change in the incident light
in the photograph.
An implementation is described that uses 3D models from a laser range
scanner and photographs from a highresolution color CCD camera. We
demonstrate the system on a simple test object and a human face.
@article{Marschner1997,
abstract = {We introduce a technique for improving photographs using inverse lighting,
a new process based on algorithms devel-
oped in computer graphics for computing the reflection of light in
3D space.
From a photograph and a 3D surface model for the object pictured,
inverse lighting estimates the directional distribution of the incident
light. We then use this information to process the photograph digitally
to alter the lighting on the object.
Inverse lighting is a specific example of the general idea of inverse
rendering. This refers to the practice of using the methods of computer
graphics, which normally are used to render images from scene information,
to infer scene information from images. Our system uses physi-
cally based rendering technology to construct a linear least squares
system that we solve to find the lighting. As an application, the
results are then used to simulate a change in the incident light
in the photograph.
An implementation is described that uses 3D models from a laser range
scanner and photographs from a highresolution color CCD camera. We
demonstrate the system on a simple test object and a human face.},
added-at = {2011-03-27T19:47:06.000+0200},
author = {Marschner, Stephen R. and Greenberg, Donald P.},
biburl = {https://www.bibsonomy.org/bibtex/2935dcbef3c11b19b9a47c6f30f44c42b/cocus},
citeseerurl = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.8191},
doi = {10.1.1.33.8191},
file = {:./marschner97inverse.pdf:PDF},
interhash = {97814f24a3606a8fa11b56d143a44d08},
intrahash = {935dcbef3c11b19b9a47c6f30f44c42b},
journal = {Fifth Color Imaging Conference},
keywords = {imported},
owner = {CK},
pages = {year = {1997},
262--265},
timestamp = {2011-03-27T19:47:09.000+0200},
title = {Inverse Lighting for Photography},
url = {http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=DF455572EAADC8EE6E89736CD75EC7A9?doi=10.1.1.33.8191&rep=rep1&type=pdf},
year = 1997
}