Title :
Depth measurement based on omni-directional camera and pixel offset
Author :
Jia Tong ; Zhou ZhongXuan ; Meng HaiXiu
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
3D depth measurement is important in robot navigation, remote manipulation and auto-driving system etc. It can be used to avoid obstacles and identify objects. Using omni-directional camera and infrared point cloud structured light, this paper presents a 3D depth measurement method based on pixel offset theory. Firstly, based on triangulation, the pixel offset values between the reference and object images can be calculated. Secondly, the 3D depth data can be measured and used to generate the color depth image. Finally, to compare with actual measured values, in order to verify the effectiveness of the method. Experimental results show that the reconstructed depth data have a good correlation with the actual distance.
Keywords :
cameras; collision avoidance; image colour analysis; infrared imaging; robot vision; spatial variables measurement; 3D depth measurement; autodriving system; color depth image; infrared point cloud structured light; object identification; obstacle avoidance; omnidirectional camera; pixel offset theory; remote manipulation; robot navigation; triangulation; Automation; Cameras; Image color analysis; Robot vision systems; Three-dimensional displays; Zirconium; Depth measurement; infrared laser; omni-directional camera; structured light; triangulation;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053639