Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
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DOI：
10.1109/3dv.2019.00055
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Tim Michels;Arne Petersen;R. Koch
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文献类型：
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作者：
Tim Michels;Arne Petersen;R. Koch
摄像机标定方法通常包括捕获已知标定模式的图像，并使用检测到的对应关系来优化假设的摄像机模型的参数。对这些方法的有意义的评价依赖于现实的合成数据的可用性。在以前的作品与传统的相机的合成数据主要是通过渲染完美的图像与针孔相机，随后添加失真和像差的渲染和对应关系，根据假设的相机模型。这种方法可能会使评估产生偏差，因为并非每个相机都完全符合假设的模型。此外，在全光相机校准的领域中，根本不存在可用的合成地面实况数据。我们解决这些问题，提出了一种方法的基础上向后射线跟踪创建现实的地面实况数据，可用于无偏的评估这两种类型的相机的校准方法。
Camera calibration methods usually consist of capturing images of known calibration patterns and using the detected correspondences to optimize the parameters of the assumed camera model. A meaningful evaluation of these methods relies on the availability of realistic synthetic data. In previous works concerned with conventional cameras the synthetic data was mainly created by rendering perfect images with a pinhole camera and subsequently adding distortions and aberrations to the renderings and correspondences according to the assumed camera model. This method can bias the evaluation since not every camera perfectly complies with an assumed model. Furthermore, in the field of plenoptic camera calibration there is no synthetic ground truth data available at all. We address these problems by proposing a method based on backward ray tracing to create realistic ground truth data that can be used for an unbiased evaluation of calibration methods for both types of cameras.