A Self-identifying Checkerboard-like Pattern for Camera Calibration
- Resource Type
- Conference
- Authors
- Gao, Zhang; Zhu, Mingzhu; Yu, Junzhi
- Source
- 2020 39th Chinese Control Conference (CCC) Chinese Control Conference (CCC), 2020 39th. :6351-6356 Jul, 2020
- Subject
- Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Calibration
Feature extraction
Cameras
Search problems
Visualization
Complex systems
Electronic mail
Camera calibration
pattern
self-identity
checkerboard-like
- Language
- ISSN
- 1934-1768
This paper proposes a new type of planar pattern for camera calibration featuring its checkerboard-like structure and self-identity. White and black blocks are arranged by a novel method to ensure the uniqueness of each local pattern, and meanwhile maintain all checkerboard corners. The pattern is generated by combining identification units based on a random search strategy. Positions of local patterns can be acquired by searching the global pattern, achieving the benefit of self-identity. Because of the checkerboard-like structure, no burden is introduced in sampling compared to traditional calibrations. Experimental results show the effectiveness of the proposed calibration method. The conceived pattern is especially suitable for the calibration of multi-camera system with limited overlapping scope.