Carmichael's totient function conjecture: Difference between revisions

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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.


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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 I=nL, where I is a (known) vector of m observed intensities, n is the (unknown) surface normal, and L is a (known) 3×m 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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  1. Woodham, R.J. 1980. Photometric method for determining surface orientation from multiple images. Optical Engineerings 19, I, 139-144.
  2. 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.
  3. Template:Cite web