9.4.2 Light Source Detection

Chapter Contents (Back)
Photometric Stereo. Light Source Direction.

Ullman, S.[Shimon],
On Visual Detection of Light Sources,
BioCyber(21), 1976, pp. 205-212. BibRef 7600
And: MIT AI Memo-333, May 1975. BibRef

Ullman, S.[Shimon],
Visual Detection of Light Sources,
MIT-AI79(81-100). BibRef 7900

Pentland, A.P.,
Finding the Illuminant Direction,
JOSA(72), No. 4, April 1982, pp. 448-455. BibRef 8204

Langer, M.S., Zucker, S.W.,
Casting Light on Illumination: A Computational Model and Dimensional Analysis of Sources,
CVIU(65), No. 2, February 1997, pp. 322-335. 9704

WWW Version. BibRef

Langer, M.S.,
When Shadows Become Interreflections,
IJCV(34), No. 2-3, August 1999, pp. 193-204.
WWW Version. BibRef 9908

Langer, M.J., Zucker, S.W.,
What Is A Light Source?,
CVPR97(172-178).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
Award, CVPR. Framework to describe light sources. BibRef

Langer, M.S., Zucker, S.W.,
A Ray-Based Computational Model of Light Sources and Illumination,
PBMCV95(SESSION 4). BibRef 9500
And:
Spatially Varying Illumination: A Computational Model of Converging and Diverging Sources,
ECCV94(B:226-232).
Springer DOI Link BibRef

Gipsman, D.[Daria], Langer, M.S.[Michael S.],
A Cue to Shading: Elongations near Intensity Maxima,
CRV08(123-128).
IEEE DOI Link 0805
BibRef

Maki, A.[Atsuto],
Estimation of Illuminant Direction and Surface Reconstruction by Geotensity Constraint,
PRL(21), No. 13-14, December 2000, pp. 1115-1123. 0011
BibRef
Earlier: SCIA99(Computer Vision II). BibRef

Maki, A.,
Geotensity Constraint for 3D Surface Reconstruction under Multiple Light Sources,
ECCV00(I: 725-741).
WWW Version. 0003
BibRef

Maki, A.[Atsuto], Watanabe, M.[Mutsumi], Wiles, C.S.[Charles S.],
Geotensity: Combining Motion and Lighting for 3D Surface Reconstruction,
IJCV(48), No. 2, July 2002, pp. 75-90.
WWW Version. 0206
BibRef
Earlier: Add A2: Matsuda, N.[Natsuko], ICCV98(1053-1060).
IEEE DOI Link BibRef

Powell, M.W.[Mark W.], Sarkar, S.[Sudeep], Goldgof, D.[Dmitry],
A Simple Strategy for Calibrating the Geometry of Light Sources,
PAMI(23), No. 9, September 2001, pp. 1022-1027.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0110
Location of multiple light sources from images. Use a calibration object with 3 spheres (specular on one side Lambertian on the other) at known relative positions. BibRef

Zhang, Y.F.[Yu-Fei], Yang, Y.H.[Yee-Hong],
Multiple Illuminant Direction Detection with Application to Image Synthesis,
PAMI(23), No. 8, August 2001, pp. 915-920.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0109
BibRef
Earlier:
Illuminant Direction Determination for Multiple Light Sources,
CVPR00(I: 269-276).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
Find critical points -- surface normal is perpendicular to some light source direction. Apply in synthesis to superimpose objects in a real scene. BibRef

Yang, Y.H.[Yee-Hong],
An Experimental Study of Light Source Determination for Computer Graphics,
VI98(271-278). BibRef 9800

Wei, J.[Jie],
Robust recovery of multiple light source based on local light source constant constraint,
PRL(24), No. 1-3, January 2003, pp. 159-172.
HTML Version. 0211
BibRef

Bouganis, C.S.[Christos-Savvas], Brookes, M.[Mike],
Multiple Light Source Detection,
PAMI(26), No. 4, April 2004, pp. 509-514.
IEEE Abstract. IEEE Top Reference. 0403
V2R. Use Lambertian sphere as a claibration object. Segment regions of single virtual light and subtract from adjacent regions. Compare with: See also Multiple Illuminant Direction Detection with Application to Image Synthesis. BibRef

Bouganis, C.S.[Christos-Savvas], Brookes, M.[Mike],
Statistical multiple light source detection,
IET-CV(1), No. 2, June 2007, pp. 79-91.
WWW Version. 0905
BibRef

Chandran, S.[Sharat], Srivastava, M.P.[Mayur P.],
Irregular, unknown light sources in dynamic global illumination,
IVC(22), No. 14, 1 December 2004, pp. 1203-1210.
WWW Version. 0412
BibRef

Kopparapu, S.I.K.[Sun-Il Kumar],
Lighting design for machine vision application,
IVC(24), No. 7, July 2006, pp. 720-726.
WWW Version. 0608
Lighting design; Optimal light placement; Simulated annealing BibRef

Simonetti, F.[Francesco], Fleming, M.[Matthew], Marengo, E.A.[Edwin A.],
Illustration of the role of multiple scattering in subwavelength imaging from far-field measurements,
JOSA-A(25), No. 2, February 2008, pp. 292-303.
WWW Version. 0804
BibRef

Lagger, P.[Pascal], Fua, P.[Pascal],
Retrieving multiple light sources in the presence of specular reflections and texture,
CVIU(111), No. 2, August 2008, pp. 207-218.
WWW Version. 0808
BibRef
Earlier:
Using Specularities to Recover Multiple Light Sources in the Presence of Texture,
ICPR06(I: 587-590).
WWW Version. 0609
Specularities; Light sources recovery; Reflection parameters estimation BibRef

Takai, T.[Takeshi], Maki, A.[Atsuto], Niinuma, K.[Koichiro], Matsuyama, T.[Takashi],
Difference sphere: An approach to near light source estimation,
CVIU(113), No. 9, September 2009, pp. 966-978.
Elsevier DOI Link
WWW Version. 0907
BibRef
Earlier: A1, A3, A2, A4: CVPR04(I: 98-105).
IEEE Abstract. IEEE Top Reference. 0408
Difference sphere; Inverse lighting; Near light source; Contour representation; Open scanner BibRef


Finlayson, G.D.[Graham D.], Fredembach, C.[Clement], Drew, M.S.[Mark S.],
Detecting Illumination in Images,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Hara, K.[Kenji], Nishino, K.[Ko], Ikeuchi, K.[Katsushi],
Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions,
ICCV05(II: 1627-1634).
IEEE DOI Link 0510
See also Light Source Position and Reflectance Estimation from a Single View without the Distant Illumination Assumption. BibRef

Bouganis, C.S., Brookes, M.,
Class-based Multiple Light Detection: An Application to Faces,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Nillius, P.[Peter], Eklundh, J.O.[Jan-Olof],
Automatic Estimation of the Projected Light Source Direction,
CVPR01(I:1076-1083).
IEEE Abstract. IEEE Top Reference. 0110
The requirement is that there exists a segment of an occluding contour of an object with locally Lambertian surface reflectance in the image. BibRef

Mann, S., Mann, R.,
Quantigraphic Imaging: Estimating the Camera Response and Exposures from Differently Exposed Images,
CVPR01(I:842-849).
IEEE Abstract. IEEE Top Reference. 0110
BibRef

Klette, R.[Reinhard], Rodehorst, V.[Volker],
Algorithms for shape from shading, lighting direction and motion,
CAIP93(420-427).
Springer DOI Link 9309
BibRef

Kondo, S., Xu, T., Tanaka, H., Sangwarasil, M., Atsuta, K.,
Shape and Source from Shading Using Zero Crossings,
ICPR92(I:534-537).
IEEE DOI Link BibRef 9200

Kondo, S., Atsuta, K.,
A Model of Human Estimation of 3D Shape from Shading Information Using Zero Crossings,
ICPR92(I:538-541).
IEEE DOI Link BibRef 9200

Atsuta, K., Sangworasil, M., Kondo, S.,
A New Method of Estimating Shape from Shading by Using a Constraint at Zero-Crossings of Image Brightness,
ICPR88(II: 666-668).
IEEE DOI Link
IEEE Top Reference. BibRef 8800

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Light Source Direction Computations, Illumination Information, Illuminant .


Last update:Nov 16, 2009 at 19:35:14