Title :
Multi-camera interference cancellation of time-of-flight (TOF) cameras
Author :
Lianhua Li;Sen Xiang;You Yang;Li Yu
Author_Institution :
School. of Electron. Inf. &
Abstract :
In the applications based on depth, multiple TOF cameras are often required to capture the same scene. But if multiple cameras operate simultaneously on the same frequency, they interfere with each other. The multi-camera interference causes a lot of errors in depth measurement. The depth quality is severely reduced, which limits the application of TOF cameras and needs to be resolved. In this paper, a multi-camera interference model is presented. The interference signal for multiple frames is proved to be an ergodic and wide-sense stationary stochastic process. The least square estimation of noninterference signal is proposed to remove the multi-camera interference. The results of experiments prove the approach can recover the depth and amplitude information of multiple TOF cameras from the severe interference.
Keywords :
"Cameras","Frequency modulation","Three-dimensional displays","Interference cancellation","Robot vision systems"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7350860