Name
Abstract | ||
|---|---|---|
We present a practical solution for generating 360 degrees stereo panoramic videos using a single camera. Current approaches either use a moving camera that captures multiple images of a scene, which are then stitched together to form the final panorama, or use multiple cameras that are synchronized. A moving camera limits the solution to static scenes, while multi-camera solutions require dedicated calibrated setups. Our approach improves upon the existing solutions in two significant ways: It solves the problem using a single camera, thus minimizing the calibration problem and providing us the ability to convert any digital camera into a panoramic stereo capture device. It captures all the light rays required for stereo panoramas in a single frame using a compact custom designed mirror, thus making the design practical to manufacture and easier to use. We analyze several properties of the design as well as present panoramic stereo and depth estimation results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CVPR.2016.408 | 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) |
Field | DocType | Volume |
Computer vision,Stereo camera,Stereo cameras,Computer graphics (images),Computer science,Panorama,Camera auto-calibration,Smart camera,Digital camera,Camera resectioning,Artificial intelligence,Computer stereo vision | Conference | 2016 |
Issue | ISSN | Citations |
1 | 1063-6919 | 1 |
PageRank | References | Authors |
0.36 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajat Aggarwal | 1 | 6 | 1.13 |
| Amrisha Vohra | 2 | 1 | 0.36 |
| Anoop M. Namboodiri | 3 | 255 | 26.36 |