| Título: | Sequences images based Camera Self-Calibration Method |
| Autores: |
Guo, Shutao; Nanchang Hangkong University Jiang, Zetao; Nanchang Hangkong University Jia, Lianggang; Nanchang Hangkong University |
| Fecha: | 2013-08-22 |
| Publicador: | EJCSIT: Electronic journal of computer science and information technology |
| Fuente: |
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| Tipo: | Peer-reviewed Article |
| Tema: | No aplica |
| Descripción: | Camera self-calibration is one of the key technologies in 3D reconstruction. Base on the image sequence, this paper proposes a new camera self-calibration method; in addition, the intrinsic camera parameters are varying. This method based on Kruppa equations, we all know that two upper triangular matrixes must exist a relational matrix, make the varying focal length convert to the relational matrix, thus use the epipolar geometry relationship of absolute conic to get the intrinsic camera parameters. Experimental results show that the method is a high precision, robustness strong self –calibration. |
| Idioma: | Inglés |