Share Email Print

Proceedings Paper

Adaptive disparity estimation and intermediate view reconstruction for multiview 3D imaging system
Author(s): Kyung-Hoon Bae; Song-Taek Lim; Eun-Soo Kim
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, a new 3D intermediate views reconstruction technique using an adaptive disparity estimation algorithm is proposed and its performance is analyzed by comparison to that of the conventional disparity estimation algorithms. In the proposed algorithm, in order to effectively synthesize the intermediate views the matching window size is selected according to the feature value of the input stereo image. By doing this, the mismatching probability of the disparity can be reduced through coarse matching in the similar area and fine matching in the area having large feature values such as in the edge part of object. From some experimental results, it is found that the proposed algorithm improves the PSNR of the reconstructed intermediate views about 3-4 dB on the average than that of the conventional algorithms.

Paper Details

Date Published: 23 May 2002
PDF: 8 pages
Proc. SPIE 4660, Stereoscopic Displays and Virtual Reality Systems IX, (23 May 2002); doi: 10.1117/12.468021
Show Author Affiliations
Kyung-Hoon Bae, Kwangwoon Univ. (South Korea)
Song-Taek Lim, Kwangwoon Univ. (South Korea)
Eun-Soo Kim, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 4660:
Stereoscopic Displays and Virtual Reality Systems IX
Mark T. Bolas; Andrew J. Woods; John O. Merritt; Stephen A. Benton; Mark T. Bolas, Editor(s)

© SPIE. Terms of Use
Back to Top