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'''Photometric stereo''' is a technique in [[computer vision]] for estimating the [[surface normals]] of objects by observing that object under different lighting conditions. | |||
The technique was originally introduced by Woodham in 1980.<ref name="Woodham1980">Woodham, R.J. 1980. Photometric method for determining surface orientation from multiple images. Optical Engineerings 19, I, 139-144.</ref> The special case where the data is a single image is known as '''shape from shading''', and was analyzed by B. K. P. Horn in 1989.<ref name="BKPHorn89">B. K. P. Horn, 1989. Obtaining shape from shading information. In B. K. P. Horn and M. J. Brooks, eds., Shape from Shading, pages 121–171. MIT Press.</ref> | |||
==Methods== | |||
Under Woodham's original assumptions — [[Lambertian reflectance]], known point-like distant light sources, and uniform [[albedo]] — the problem can be solved by inverting the linear equation <math>I = n \cdot L</math>, where <math>I</math> is a (known) vector of <math>m</math> observed intensities, <math>n</math> is the (unknown) surface normal, and <math>L</math> is a (known) <math>3 \times m</math> matrix of normalized light directions. | |||
Photometric stereo has since been generalized to many other situations, including non-uniform albedo, extended light sources, and non-Lambertian surface finishes.<ref>{{cite web | |||
|url=http://www1.uwe.ac.uk/et/mvl/projects/facerecognition.aspx | |||
|title=A Photometric Stereo Approach to Face Recognition | |||
|publisher=University of the West of England | |||
|accessdate=2011-03-27 | |||
}}</ref> Current research aims to make the method work in the presence of projected shadows, highlights, and non-uniform lighting. | |||
==See also== | |||
* [[Photometry (optics)|Photometry]] | |||
* [[Stereo vision]] | |||
* [[3D scanner]] | |||
==References == | |||
{{Reflist}} | |||
[[Category:Computer graphics]] | |||
[[Category:Computer vision]] | |||
[[Category:3D imaging]] | |||
{{Compu-graphics-stub}} |
Revision as of 20:04, 21 April 2013
Photometric stereo is a technique in computer vision for estimating the surface normals of objects by observing that object under different lighting conditions.
The technique was originally introduced by Woodham in 1980.[1] The special case where the data is a single image is known as shape from shading, and was analyzed by B. K. P. Horn in 1989.[2]
Methods
Under Woodham's original assumptions — Lambertian reflectance, known point-like distant light sources, and uniform albedo — the problem can be solved by inverting the linear equation , where is a (known) vector of observed intensities, is the (unknown) surface normal, and is a (known) matrix of normalized light directions.
Photometric stereo has since been generalized to many other situations, including non-uniform albedo, extended light sources, and non-Lambertian surface finishes.[3] Current research aims to make the method work in the presence of projected shadows, highlights, and non-uniform lighting.
See also
References
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- ↑ Woodham, R.J. 1980. Photometric method for determining surface orientation from multiple images. Optical Engineerings 19, I, 139-144.
- ↑ B. K. P. Horn, 1989. Obtaining shape from shading information. In B. K. P. Horn and M. J. Brooks, eds., Shape from Shading, pages 121–171. MIT Press.
- ↑ Template:Cite web