DocumentCode
254052
Title
Calibrating a Non-isotropic Near Point Light Source Using a Plane
Author
Jaesik Park ; Sinha, Sudipta N. ; Matsushita, Yuki ; Yu-Wing Tai ; In So Kweon
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2014
fDate
23-28 June 2014
Firstpage
2267
Lastpage
2274
Abstract
We show that a non-isotropic near point light source rigidly attached to a camera can be calibrated using multiple images of a weakly textured planar scene. We prove that if the radiant intensity distribution (RID) of a light source is radially symmetric with respect to its dominant direction, then the shading observed on a Lambertian scene plane is bilaterally symmetric with respect to a 2D line on the plane. The symmetry axis detected in an image provides a linear constraint for estimating the dominant light axis. The light position and RID parameters can then be estimated using a linear method. Specular highlights if available can also be used for light position estimation. We also extend our method to handle non-Lambertian reflectances which we model using a biquadratic BRDF. We have evaluated our method on synthetic data quantitavely. Our experiments on real scenes show that our method works well in practice and enables light calibration without the need of a specialized hardware.
Keywords
calibration; cameras; image texture; light sources; object detection; pose estimation; Lambertian scene plane; RID; biquadratic BRDF; dominant light axis; image detection; light position estimation; linear method; non-Lambertian reflectances; non-isotropic near point light source; radiant intensity distribution; symmetry axis; weakly textured planar scene; Calibration; Cameras; Estimation; Geometry; Light sources; Three-dimensional displays; Vectors; Light calibration; near point light; non-isotropic;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
Conference_Location
Columbus, OH
Type
conf
DOI
10.1109/CVPR.2014.290
Filename
6909687
Link To Document