Name
Abstract | ||
|---|---|---|
In this paper, we present a novel approach to imaging a panoramic (360 degrees) environment and computing its dense depth map. Our approach adopts a multi-baseline stereo strategy using a set of multi-perspective panoramas where large baseline lengths are available. We design two image acquisition rigs for capturing such multi-perspective panoramas. The first one is composed of two parallel stereo cameras. By rotating the rig about a vertical axis, we generate four multi-perspective panoramas by resampling the regular perspective images captured by the stereo cameras. Then a depth map is estimated from the four multi-perspective panoramas and an original perspective image using a multi-baseline matching technique with different types of epipolar constraints. The second one is composed of a single camera and two mirrors. By rotating the rig, we acquire a spatio-temporal volume that is made up of the sequential images captured by the camera. Then we estimate a depth map by extracting trajectories from the spatio-temporal volume by using a multi-baseline stereo technique by considering occlusions. We can consider both rotating rigs as a single rotating camera with a very large field of view (FOV), that offers a large baseline length in depth estimation. In addition, compared with a previous approach using two multi-perspective panoramas from a single rotating camera, our approach can reduce matching errors due to image noise, repeated patterns, and occlusions by multi-baseline stereo techniques. Experimental results using both synthetic and real images show that our approach produces high quality panoramic 3D reconstruction. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1142/S0218001410008226 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | Field | DocType |
Panoramic stereo, multi-perspective panorama, multi-baseline stereo, epipolar constraints | Computer vision,Stereo camera,Stereo cameras,Computer graphics (images),Epipolar geometry,Panorama,Artificial intelligence,Real image,Depth map,Mathematics,Computer stereo vision,3D reconstruction | Journal |
Volume | Issue | ISSN |
24 | 6 | 0218-0014 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Jiang | 1 | 120 | 8.52 |
| shigeki sugimoto | 2 | 115 | 11.82 |
| Masatoshi Okutomi | 3 | 869 | 103.67 |