DocumentCode
2474635
Title
A depth recovery algorithm using defocus information
Author
Hwang, Ten-lee ; Clark, James J. ; Yuille, Alan L.
Author_Institution
Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
fYear
1989
fDate
4-8 Jun 1989
Firstpage
476
Lastpage
482
Abstract
Pentland (1987) proposed an algorithm for sensing scene depth by measuring the amount of defocus of an image. The algorithm is interesting in the sense that no correspondence problems are involved. The authors discuss the difference between shape from defocus and shape from focus and then present a two-phase algorithm where the defocus process is modeled as a two-dimensional Gaussian point-spread function. During the first phase (calibration phase), a camera system parameter is determined off-line. In the next phase (depth-recovery phase), this parameter is used to recover on-line the scene depth by taking two images of the same scene, but with a different amount of defocus. Some implementation issues are addressed, and test results on real images are provided
Keywords
computer vision; picture processing; defocus information; depth recovery algorithm; pattern recognition; picture processing; shape from focus; two-dimensional Gaussian point-spread function; two-phase algorithm; Calibration; Cameras; Focusing; Frequency estimation; Intelligent control; Layout; Lenses; Mobile robots; Shape; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
Conference_Location
San Diego, CA
ISSN
1063-6919
Print_ISBN
0-8186-1952-x
Type
conf
DOI
10.1109/CVPR.1989.37890
Filename
37890
Link To Document