Name
Abstract | ||
|---|---|---|
Trough binocular vision the fast disparity image is often desired for many applications, but, most algorithms could not easily be application because of complexity. We present an image-processing technique that can fast estimate depth image from binocular vision images. By finding out the lines which present the best matched area in the disparity space image, the depth can be estimated. When detecting these lines, an edge-emphasizing filter is used. The final depth estimation will be presented after the smooth filter. Our method is a compromise between local methods and global optimization. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISKE.2008.4731112 | Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference |
Keywords | DocType | Volume |
image processing,smoothing methods,depth image estimation,edge-emphasizing filter,image-processing technique,smooth filter,trough binocular vision,depth estimation,image filters,stereo match,matched filters,global optimization,stereo vision,intelligent systems,estimation,binocular vision,optimization | Conference | 1 |
ISBN | Citations | PageRank |
978-1-4244-2197-8 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiming Nie | 1 | 7 | 3.33 |
| Tao Wu | 2 | 21 | 7.71 |
| Xiangjing An | 3 | 226 | 12.15 |
| Hangen He | 4 | 307 | 23.86 |