Name
Abstract | ||
|---|---|---|
We present a new post-processing step to enhance the resolution of range images. Using one or two registered and potentially high-resolution color images as reference, we iteratively refine the input low-resolution range image, in terms of both its spatial resolution and depth precision. Evaluation using the Middlebury benchmark shows across-the-board improvement for sub-pixel accuracy. We also demonstrated its effectiveness for spatial resolution enhancement up to 100x with a single reference image. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CVPR.2007.383211 | 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 |
Keywords | Field | DocType |
stereo vision,super resolution,image resolution,low resolution,cost function,color,high resolution,time measurement,color image,spatial resolution | Computer vision,Computer graphics (images),Stereopsis,Computer science,Reference image,Sub-pixel resolution,Artificial intelligence,Superresolution,Image resolution | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1063-6919 |
Citations | PageRank | References |
348 | 13.57 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingxiong Yang | 1 | 2586 | 106.93 |
| Ruigang Yang | 2 | 3675 | 226.03 |
| James Davis | 3 | 2804 | 214.56 |
| David Nistér | 4 | 2265 | 118.02 |