Calibration Venus: An Interactive Camera Calibration Method Based on Search Algorithm and Pose Decomposition
发布时间：2021-06-28
点击次数：
影响因子：2.412
DOI码：10.3390/electronics9122170
发表刊物：Electronics
关键字：interactive camera calibration; search algorithm; pose selection; user guidance; pose decomposition
摘要：Cameras are widely used in many scenes such as robot positioning and unmanned driving, in which the camera calibration is a major task in this field. The interactive camera calibration method based on a plane board is becoming popular due to its stability and handleability. However, most methods choose suggestions subjectively from a fixed pose dataset, which is error‐prone and limited for different camera models. In addition, these methods do not provide clear guidelines on how to place the board in the specified pose. This paper proposes a new interactive calibration method, named ‘Calibration Venus’, including two main parts: pose search and pose decomposition. First, a pose search algorithm based on simulated annealing (SA) algorithm is proposed to select the optimal pose in the entire pose space. Second, an intuitive and easy‐to‐use user guidance method is designed to decompose the optimal pose into four sub‐poses: translation, each rotation along X‐, Y‐, Z‐axes. Thereby the users could follow the guide step by step to accurately complete the placement of the calibration board. Experimental results evaluated on simulated and real datasets show that the proposed method can reduce the difficulty of calibration, and improve the accuracy of calibration, as well as provide better guidance.
合写作者：许孟迪
第一作者：雷文太
论文类型：期刊论文
学科门类：工学
一级学科：信息与通信工程
文献类型：J
是否译文：否
发表时间：2020-12-07
收录刊物：SCI、EI