Title :
A Camera Calibration Method for Obstacle Distance Measurement Based on Monocular Vision
Author :
Lin Chenchen ; Su Fulin ; Wang Haitao ; Gao Jianjun
Author_Institution :
Sch. of Electron. Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
This paper presents a novel method of camera parameters calibration for obstacle distance measurement based on monocular vision. In this method, resolving camera parameters have been decomposed into two linear equation sets, which has significantly reduced computing complexity and improved computing speed. The ideal pinhole imaging model of obstacle has been demonstrated, then the linear equations have been derived afterwards. In the end, experiment shows that the proposed method is very effective.
Keywords :
calibration; cameras; computer vision; distance measurement; camera calibration method; computing complexity; computing speed; ideal pinhole imaging model; linear equation sets; monocular vision; obstacle distance measurement; Accuracy; Calibration; Cameras; Computer vision; Distance measurement; Equations; Mathematical model; camera calibration; computer vision; distance measurement; monocular vision;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
DOI :
10.1109/CSNT.2014.233
