Name
Abstract | ||
|---|---|---|
Sensor fusion is an important part of modern cyber-physical systems that observe and analyse real-world environments. Time-of-Flight depth cameras provide high frame rate low-resolution depth data that can be efficiently used in many applications related to cyber-physical systems. In this paper, we address the critical issue of upsampling and enhancing the low-quality depth data using a calibrated and registered high-resolution colour image or video. Two novel algorithms for image-guided depth upsampling are proposed based on different principles. A new method for video-guided upsampling is also presented. Initial test results on synthetic and real data are shown and discussed. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | Computer vision,Computer graphics (images),Computer science,Sensor fusion,Artificial intelligence,Frame rate,Robot vision systems,Upsampling,Image resolution,Cybernetics,Colour image |
DocType | ISSN | Citations |
Conference | 1062-922X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivan Eichhardt | 1 | 7 | 2.16 |
| Zsolt Jankó | 2 | 33 | 5.94 |
| Chetverikov, D. | 3 | 956 | 99.89 |