Paper Info
Title
Inclusion Of Magnitude Information For Improved Phase-Based Disparity Estimation In Stereoscopic Image Pairs
Abstract
Estimating depth information from two-dimensional stereoscopic image pairs is an important task in image processing. The disparity, i.e. the displacement of corresponding pixels in the image pair, can be estimated directly from local image phase in the fourier domain. In this paper a combined FFT- based approach for disparity estimation is proposed, where additional magnitude information is included in the disparity estimation process. Confidence criteria derived from the magnitude spectra are used to eliminate errors which makes this approach both easier and more robust compared to single phase-based algorithms. Results are presented for both artifical and real image pairs. A stereo image coding approach is applied to compare the results in an objective manner.
Year
Venue
Keywords
2005
VISION '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON COMPUTER VISION
stereo matching, disparity estimation, Fourier domain, local phase, evaluation criterion
Field
DocType
Citations 
Magnitude (mathematics),Computer vision,Stereoscopy,Computer science,Single phase,Image processing,Fourier transform,Coding (social sciences),Artificial intelligence,Pixel,Real image
Conference
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
Udo Ahlvers161.63
Udo Zölzer22712.39