Name
Title | ||
|---|---|---|
Towards the recovery of extrinsic camera parameters from video records of sewer surveys |
Abstract | ||
|---|---|---|
. The aim of the work reported here is the recovery, from a single image taken inside a roughly cylindrical brick sewer pipe
of diameter up to one meter, of the pose of the camera relative to the central axis of the pipe. It is shown that the vanishing
point associated with the longitudinal mortar lines carries valuable information about the pose. A method for the automatic
detection of this point is presented and used to analyse the camera rotations underlying a number of sewer survey videos.
It is similarly shown how the angles between the images of the longitudinal lines can be used to recover information about
camera pose. The techniques might form an active part of a more comprehensive image understanding system recovering the three-dimensional
shape of a surveyed pipe from survey videos and/or be used as an experimental tool during the design of such a system. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/s001380050090 | Mach. Vis. Appl. |
Keywords | Field | DocType |
vanishing point,camera calibration,brick sewers,three dimensional | Computer vision,Computer graphics (images),Computer science,Cylinder,Camera auto-calibration,Camera resectioning,Metre (music),Artificial intelligence,Brick,Vanishing point,Pinhole camera model | Journal |
Volume | Issue | ISSN |
11 | 2 | 0932-8092 |
Citations | PageRank | References |
10 | 1.01 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Cooper | 1 | 10 | 1.01 |
| Tony P. Pridmore | 2 | 143 | 40.24 |
| Neil Taylor | 3 | 10 | 1.01 |