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