论文标题
校准金星：一种基于搜索算法和姿势分解的交互式摄像头校准方法
Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
论文作者
论文摘要
在许多应用相机的情况下，例如机器人定位和无人驾驶，相机校准是最重要的预校准之一。基于平面板的交互式校准方法由于其可重复性和操作优势，在摄像机校准字段中变得流行。但是，现有方法根据主观经验从固定的预定姿势数据集中选择建议，从而导致一定程度的单面性。此外，他们没有为用户提供有关如何将董事会放在指定姿势中的明确说明。
In many scenarios where cameras are applied, such as robot positioning and unmanned driving, camera calibration is one of the most important pre-work. The interactive calibration method based on the plane board is becoming popular in camera calibration field due to its repeatability and operation advantages. However, the existing methods select suggestions from a fixed dataset of pre-defined poses based on subjective experience, which leads to a certain degree of one-sidedness. Moreover, they does not give users clear instructions on how to place the board in the specified pose.
