Name
Abstract | ||
|---|---|---|
This paper proposes a method to get depth information from image sequences obtained from a moving fish-eye camera. The motion is assumed to be along the optical axis of the fish-eye camera. In this case, a point on a fish-eye image moves to radial direction. This is one of the epipolar constraints that are very effective to find corresponding points in an image sequences. Epipolar-plane image (EPI) is an image having epipolar constraint in a volume of accumulating an image sequence. The gradient of a curve on EPI has depth information of the corresponding measuring point. Measurement accuracy of the proposed method is examined over a wide-angle range. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-33926-4_34 | INTELLIGENT AUTONOMOUS SYSTEMS 12, VOL 1 |
Field | DocType | Volume |
Computer vision,Epipolar geometry,Computer science,Radial direction,Optical axis,Artificial intelligence,Intelligent transportation system,Accuracy and precision,Image sequence | Conference | 193 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kenji Terabayashi | 1 | 24 | 7.73 |
| Toru Morita | 2 | 0 | 0.34 |
| Hiroya Okamoto | 3 | 0 | 0.68 |
| Takaaki Oiwa | 4 | 14 | 3.81 |
| Kazunori Umeda | 5 | 116 | 29.88 |