论文标题
模糊的多对焦元素摄像机的校准
Blur Aware Calibration of Multi-Focus Plenoptic Camera
论文作者
论文摘要
本文仅使用原始图像提出了一种新型的校准算法（MFPC）。此类相机的设计通常很复杂，并且依赖于光学元件的精确放置。已经提出了几种校准过程来检索摄像机参数，但是依靠简化的模型，重建图像来提取功能，或使用多种微镜头时进行多次校准。考虑到模糊的信息，我们提出了一个新的模糊呼吸道（BAP）功能。首先在检索初始摄像机参数的预校准步骤中利用它，其次是为我们的单个优化过程表达新的成本函数。我们的校准方法的有效性通过定量和定性实验来验证。
This paper presents a novel calibration algorithm for Multi-Focus Plenoptic Cameras (MFPCs) using raw images only. The design of such cameras is usually complex and relies on precise placement of optic elements. Several calibration procedures have been proposed to retrieve the camera parameters but relying on simplified models, reconstructed images to extract features, or multiple calibrations when several types of micro-lens are used. Considering blur information, we propose a new Blur Aware Plenoptic (BAP) feature. It is first exploited in a pre-calibration step that retrieves initial camera parameters, and secondly to express a new cost function for our single optimization process. The effectiveness of our calibration method is validated by quantitative and qualitative experiments.
