Name
Abstract | ||
|---|---|---|
This paper addresses the problem of calibrating a pinhole camera from images of a surface of revolution. Camera calibration is the process of determining the intrinsic or internal parameters (i.e., aspect ratio, focal length, and principal point) of a camera, and it is important for both motion estimation and metric reconstruction of 3D models. In this paper, a novel and simple calibration technique is introduced, which is based on exploiting the symmetry of images of surfaces of revolution. Traditional techniques for camera calibration involve taking images of some precisely machined calibration pattern (such as a calibration grid). The use of surfaces of revolution, which are commonly found in daily life (e.g., bowls and vases), makes the process easier as a result of the reduced cost and increased accessibility of the calibration objects. In this paper, it is shown that two images of a surface of revolution will provide enough information for determining the aspect ratio, focal length, and principal point of a camera with fixed intrinsic parameters. The algorithms presented in this paper have been implemented and tested with both synthetic and real data. Experimental results show that the camera calibration method presented here is both practical and accurate. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TPAMI.2003.1177148 | IEEE Trans. Pattern Anal. Mach. Intell. |
Keywords | Field | DocType |
simple calibration technique,camera calibration method,focal length,principal point,aspect ratio,camera calibration,calibration grid,pinhole camera,machined calibration pattern,calibration object,calibration,surface reconstruction,surface of revolution,testing,image reconstruction,computer vision,motion estimation,vanishing point,feature extraction,indexing terms,geometry,surfaces of revolution,symmetry | Computer vision,Pinhole camera,Surface of revolution,Computer graphics (images),Computer science,Camera auto-calibration,Focal length,Camera resectioning,Artificial intelligence,Motion estimation,Camera matrix,Pinhole camera model | Journal |
Volume | Issue | ISSN |
25 | 2 | 0162-8828 |
Citations | PageRank | References |
52 | 1.97 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kwan-Yee Kenneth Wong | 1 | 77 | 3.08 |
| Paulo R. S. Mendonça | 2 | 610 | 50.38 |
| Roberto Cipolla | 3 | 9413 | 827.88 |