Name
Title | ||
|---|---|---|
Symmetric Segment-Based Stereo Matching Of Motion Blurred Images With Illumination Variations |
Abstract | ||
|---|---|---|
Most existing methods of stereo matching focus on dealing with clear image pairs. Consequently, there is a lack of approaches capable of handling degraded images captured under challenging real situations, e.g. motion blur is present and an image pair is in. different illumination conditions. In this paper we propose a novel approach to handling these challenging situations by formulating the problem into a Maximum a Posteriori (MAP) estimation framework, and adopt a segment-based symmetric stereo matching method to infer a mask of disparity map which indicates whether a disparity is affected by motion blur and estimate the disparity value. The experimental results show that our stereo matching method is able to compute more accurate disparity maps of this type of degraded images. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761308 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
pixel,image segmentation,maximum likelihood estimation,map,lighting,stereo vision,estimation,maximum a posteriori estimation | Stereo matching,Computer vision,Pattern recognition,Stereopsis,Image matching,Computer science,Motion blur,Maximum likelihood,Image segmentation,Pixel,Artificial intelligence,Maximum a posteriori estimation | Conference |
ISSN | Citations | PageRank |
1051-4651 | 2 | 0.41 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Wang | 1 | 8 | 0.87 |
| Yizhou Wang | 2 | 1162 | 86.04 |
| Longshe Huo | 3 | 55 | 7.73 |
| Qingming Huang | 4 | 3919 | 267.71 |
| Wen Gao | 5 | 11374 | 741.77 |