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From projective to Euclidean space under any practical situation, a criticism of self-calibration

机译:在任何实际情况下,从投影到欧几里德空间,对自我校准的批评

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For many practical applications it is important to relax the self-calibration conditions to allow for changing internal camera parameters (e.g. zooming/focusing...). Classical techniques failed for such conditions. We present the available constraints that allow us to right a projective calibration to a Euclidean one. Meanwhile, we found that the estimations of the internal parameters were rather inaccurate. We discuss theoretically this difficulty and above all the resulting effect on the 3D reconstruction. In fact, we show that the uncertainty on the focal length estimation leads to an Euclidean calibration up to a quasi anisotropic homothety whereas the error on the principal point can often be interpreted as a translation. Hopefully, the calibration we come up with, is quite acceptable for reconstruction of models.
机译:对于许多实际应用,重要的是放宽自校准条件,以允许改变内部摄像机参数(例如,变焦/聚焦......)。此类条件失败的经典技术。我们介绍了可用的约束,使我们能够对欧几里德1进行投影校准。同时,我们发现内部参数的估计相当不准确。我们从理论上讨论了这种困难,高于所有导致对3D重建的影响。事实上,我们表明,焦距估计的不确定性导致欧几里德校准直到准各向异性的校准,而主要点的错误通常可以被解释为翻译。希望我们提出的校准,对模型的重建非常可接受。

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