Title :
Modelling and correction of multipath interference in time of flight cameras
Author :
Jiménez, David ; Pizarro, Daniel ; Mazo, Manuel ; Palazuelos, Sira
Abstract :
This paper presents an algorithm that automatically corrects the distortion caused by multipath interference (MpI) in depth measurements obtained with time of flight cameras (ToF cameras). A radiometric model that explains, under some mild simplifications, the working principle of a ToF camera including a model for MpI is proposed. Using this model we demonstrate that all the information needed for compensating the influence of MpI on the scene captured by the camera is self-contained in the measurements (depth and amplitude of infrared signal). We propose an iterative optimization method that, based on the measurements contaminated with MpI, gives depth correction for each pixel. Results are shown in artificially generated time of flight scenes using the radiometric model. In addition, the system has been validated in real scenes using a commercial ToF camera providing good results.
Keywords :
cameras; distortion; interference (signal); iterative methods; optimisation; radiometry; spatial variables measurement; MpI; ToF cameras; commercial ToF camera; depth correction; depth measurements; distortion; flight scenes; infrared signal amplitude; infrared signal depth; iterative optimization method; multipath interference; radiometric model; time of flight cameras; working principle; Cameras; Distortion measurement; Interference; Iterative methods; Phase measurement; Pollution measurement; Radiometry; Iterative Method; Multipath Interference (MpI); Time of Flight (ToF);
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
DOI :
10.1109/CVPR.2012.6247763