Mirror-based Camera Pose Estimation Using an Orthogonality Constraint
This paper is aimed at employing mirrors to estimate relative posture and position of camera, ie, extrinsic parameters, against a 3D reference object that is not directly visible from the camera. The key contribution of this paper is to propose a novel formulation of extrinsic camera calibration bas...
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Veröffentlicht in: | IPSJ Transactions on Computer Vision and Applications 2016, Vol.8, pp.11-19 |
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Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper is aimed at employing mirrors to estimate relative posture and position of camera, ie, extrinsic parameters, against a 3D reference object that is not directly visible from the camera. The key contribution of this paper is to propose a novel formulation of extrinsic camera calibration based on orthogonality constraint which should be satisfied by all families of mirror-reflections of a single reference object. This allows us to obtain a larger number of equations which contribute to make the calibration more robust. We demonstrate the advantages of the proposed method in comparison with a state-of-the-art by qualitative and quantitative evaluations using synthesized and real data. |
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ISSN: | 1882-6695 1882-6695 |
DOI: | 10.2197/ipsjtcva.8.11 |