Name
Abstract | ||
|---|---|---|
ABSTRACT In this paper, we propose a novel method to estimate the slant of omni-directional image sensors which can acquire images of an environment with a FOV close to360,. The proposed method consists of two steps: a low resolution voting followed by a least squares method (LSM). First, the direction of each edge pixel in the omni-directional image is computed,and projected to the plane of Z = 1. The biggest peak formed by the vertical edges, which are prevalent in indoor and urban scenes, is detected. Then, edge directions whose projections to the voting plane pass near the peak are used to estimate the slant of the sensor by LSM. Experimen- tal results in a real environment,show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICIP.2003.1247094 | Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference |
Keywords | Field | DocType |
active vision,edge detection,image resolution,image sensors,FOV,active vision,edge detection,edge direction,edge pixel,image resolution,indoor scene,least squares method,omnidirectional image sensor,plane projection,slant estimation,urban scene,voting plane | Computer vision,Omnidirectional antenna,Active vision,Image gradient,Feature detection (computer vision),Pattern recognition,Image sensor,Edge detection,Computer science,Artificial intelligence,Pixel,Image resolution | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-7750-8 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang, C. | 1 | 0 | 0.34 |
| Tanahashi, H. | 2 | 10 | 1.16 |
| Satoh, Y. | 3 | 0 | 0.34 |
| Hirayu, H. | 4 | 0 | 0.34 |