DocumentCode :
3549191
Title :
Camera calibration and light source estimation from images with shadows
Author :
Cao, Xiaochun ; Shah, Mubarak
Author_Institution :
Comput. Vision Lab., Central Florida Univ., Orlando, FL, USA
Volume :
2
fYear :
2005
fDate :
20-25 June 2005
Firstpage :
918
Abstract :
In this paper, we describe how camera parameters and light source orientation can be recovered from two perspective views of a scene given only two vertical lines and their cast shadows. Compared to the traditional calibration methods that involve images of some precisely machined calibration pattern, our method uses new calibration objects: the vertical objects and their parallel shadow lines, which are common in natural environments. In addition to the benefit of increasing accessibility of the calibration objects, the proposed method is also especially useful in cases where only limited information is available. To demonstrate the accuracy and the applications of the proposed algorithm, we present results on both synthetic and real images.
Keywords :
calibration; cameras; estimation theory; image restoration; light sources; natural scenes; object recognition; calibration object; camera calibration; camera parameter; light source estimation; parallel shadow line; real image; vertical object; Application software; Calibration; Cameras; Computer vision; Data mining; Geometry; Image reconstruction; Layout; Light sources; Symmetric matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.95
Filename :
1467540
Link To Document :
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