Title :
Depth measurement by omni-directional camera
Author :
Jia Tong ; Xi Ning
Author_Institution :
Coll. of Inf. & Eng., Northeastern Univ., Shenyang, China
Abstract :
Depth measurement is important in robot navigation, remote manipulation and auto-driving system etc. It can be used to avoid obstacles and identify objects. This paper presents a 3D depth measurement method using omni-directional camera and infrared point cloud structured light. 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, compared 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; mobile robots; navigation; robot vision; spatial variables measurement; auto-driving system; color depth image; depth measurement; infrared point cloud structured light; obstacle avoidance; omnidirectional camera; remote manipulation; robot navigation; Accuracy; Cameras; Image color analysis; Image reconstruction; Mirrors; Robots; Three-dimensional displays; depth measurement; infrared laser; omni-directional camera; structured light;
Conference_Titel :
Cyber Technology in Automation, Control and Intelligent Systems (CYBER), 2013 IEEE 3rd Annual International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4799-0610-9
DOI :
10.1109/CYBER.2013.6705478