Ranging Method of Binocular Stereo Vision Based on Random Ferns and NCC Template Matching

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Ma, Weiping^1 ; Li, Wenxin^1 ; Cao, Pengxia^1

Lanzhou Institute of Physics, China Academy of Space Technology, Lanzhou

730000, China^1

关键词: Binocular stereo vision;    Center points;    Distance ranges;    Geometric information;    Matching points;    Template-matching algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/2/022149/pdf
DOI  :  10.1088/1755-1315/252/2/022149

来源: IOP

【 摘 要 】

As an important research direction in the field of computer vision, binocular stereo vision has important application value for the reconstruction of scene 3D geometric information. A fast and accurate binocular vision target ranging method is proposed. Firstly, the random fern algorithm is used to accurately and quickly detect the left image target area to obtain the target center point. Then the NCC template matching algorithm is used to find the matching point in the right image. Finally, the two-dimensional coordinates of the matching point pairs of center point is used to calculate the distance between the target and the camera. The simulation results show that the ranging scheme can accurately measure the target distance within a certain distance range, and can achieve fast and effective target ranging.