Self-calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle
| Autor: | Evgeniy V. Martyushev |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Aspect ratio Calibration (statistics) Mathematical analysis Astrophysics::Instrumentation and Methods for Astrophysics 02 engineering and technology Image plane law.invention 020901 industrial engineering & automation law Essential matrix Euclidean geometry 0202 electrical engineering electronic engineering information engineering Pinhole camera Focal length 020201 artificial intelligence & image processing Point (geometry) Mathematics |
| Zdroj: | Computer Vision – ECCV 2018 ISBN: 9783030012243 ECCV (4) |
| Popis: | The internal calibration of a pinhole camera is given by five parameters that are combined into an upper-triangular \(3\times 3\) calibration matrix. If the skew parameter is zero and the aspect ratio is equal to one, then the camera is said to have Euclidean image plane. In this paper, we propose a non-iterative self-calibration algorithm for a camera with Euclidean image plane in case the remaining three internal parameters — the focal length and the principal point coordinates — are fixed but unknown. The algorithm requires a set of \(N \ge 7\) point correspondences in two views and also the measured relative rotation angle between the views. We show that the problem generically has six solutions (including complex ones). |
| Databáze: | OpenAIRE |
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