Name
Abstract | ||
|---|---|---|
Compared to the color images, their associated depth images captured by the RGB-D sensors are typically with lower resolution. The task of depth map super-resolution (SR) aims at increasing the resolution of the range data by utilizing the high-resolution (HR) color image, while the details of the depth information are to be properly preserved. In this paper, we present a joint trilateral filterin... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCYB.2016.2637661 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Image color analysis,Image edge detection,Color,Image resolution,Sensors,Kernel,Image sensors | Computer vision,Image gradient,Filter (signal processing),Robustness (computer science),Pixel,RGB color model,Artificial intelligence,Depth map,Upsampling,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
48 | 1 | 2168-2267 |
Citations | PageRank | References |
4 | 0.47 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-Han Lo | 1 | 35 | 2.29 |
| Yu-Chiang Frank Wang | 2 | 914 | 61.63 |
| Kai-Lung Hua | 3 | 265 | 42.99 |