论文标题
创建现实的地面真相数据，以评估元素和常规摄像头的校准方法
Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
论文作者
论文摘要
相机校准方法通常包括捕获已知校准模式的图像，并使用检测到的对应关系来优化假定的相机模型的参数。对这些方法的有意义的评估取决于现实的合成数据的可用性。在与常规摄像机有关的以前的作品中，合成数据主要是通过使用针孔摄像头渲染完美的图像来创建的，然后根据假定的摄像头模型在效果图和对应关系中添加失真和畸变。此方法可以偏向评估，因为并非每个摄像机都完全符合假定的模型。此外，在全体摄像机校准的领域中，根本没有可用的合成地面真相数据。我们通过提出基于向后射线跟踪的方法来解决这些问题，以创建现实的地面真实数据，该数据可用于对两种摄像机的校准方法无偏评估。
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.
