By Topic

Depth estimation using defocused stereo image pairs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
U. Mudenagudi ; Dept. of Electron. & Commun., BVB Coll. of Eng. & Technol., Hubli, India ; S. Ghaudhuri

In this paper we propose a new method for estimating depth using a fusion of defocus and stereo, that relaxes the assumption of a pinhole model of the camera. It avoids the correspondence problem of stereo. The main advantage of this algorithm is simultaneous recovery of depth and image restoration. The depth (blur or disparity) in the scene and the intensity process in the focused image are individually modeled as Markov random fields (MRF). It avoids the windowing of data and allows incorporation of multiple observations in the estimation procedure. The accuracy of depth estimation and the quality of the restored image are improved compared to the depth from defocus method, and a dense depth map is estimated without correspondence and interpolation as in the case of stereo

Published in:

Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on  (Volume:1 )

Date of Conference: