QUANTIFYING THE DISTORTION OF DISTANCE OBSERVATIONS CAUSED BY SCATTERING IN TIME-OF-FLIGHT RANGE CAMERAS

被引:0
|
作者
Karel, W. [1 ]
Ghuffar, S. [2 ]
Pfeifer, N. [2 ]
机构
[1] Vienna Univ Technol, Christian Doppler Lab Spatial Data Laserscanning, Gusshausstr 27-29, A-1040 Vienna, Austria
[2] Vienna Univ Technol, Institute Photogrammetry & Remote Sensing, A-1040 Vienna, Austria
关键词
Range Imaging; Range Camera; Photonic Mixer Device; Systematic Error; Scattering; Internal Reflection;
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Time-of-flight range cameras simultaneously gather object distances for all pixels of a focal plane array by evaluating the round-trip time of an emitted signal. In contrast to competing techniques, cameras combining continuously emitted, amplitude modulated signals and Photonic Mixer Devices (PMD, lock-in pixels) to derive signal phase shifts and hence object distances, have reached mass production and are available at low costs. While ranging precisions typically amount to some centimetres, accuracies may be worse by an order of magnitude. Systematic distortion factors of the ranging system can be grouped into local and non-local errors. While local distortions affect the pixels individually, non-local ones contaminate larger areas of the sensor. 'Scattering' denotes one of these non-local errors, meaning the spreading of portions of the incident light over the sensor due to multiple reflections between the sensor, lens, and optical filter. The present contribution analyses this phenomenon with respect to various capture parameters, with the objective of a better understanding and a validation of assumptions.
引用
收藏
页码:316 / 321
页数:6
相关论文
共 50 条
  • [31] Phase Messaging Method for Time-of-flight Cameras
    Yuan, Wenjia
    Howard, Richard E.
    Dana, Kristin J.
    Raskar, Ramesh
    Ashok, Ashwin
    Gruteser, Marco
    Mandayam, Narayan
    2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP), 2014,
  • [32] Interference Model of Two Time-Of-Flight Cameras
    Wermke, Felix
    Meffert, Beate
    2019 IEEE SENSORS, 2019,
  • [33] Shadow Segmentation Using Time-of-Flight Cameras
    Mufti, Faisal
    Mahony, Robert
    IMAGE ANALYSIS AND PROCESSING - ICIAP 2011, PT I, 2011, 6978 : 78 - 87
  • [34] Development of Tachyon Time-of-Flight PET Cameras
    Peng, Qiyu
    Moses, William
    Zhang, Xuezhu
    Qi, Jinyi
    Zhao, Zhixiang
    Huang, Qiu
    Zhu, Yicheng
    Sui, Tengjie
    Yang, Mingming
    Xu, Jianfeng
    2016 IEEE NUCLEAR SCIENCE SYMPOSIUM, MEDICAL IMAGING CONFERENCE AND ROOM-TEMPERATURE SEMICONDUCTOR DETECTOR WORKSHOP (NSS/MIC/RTSD), 2016,
  • [35] Review of Methods for Resolving Multi-path Interference in Time-of-Flight Range Cameras
    Whyte, Refael
    Streeter, Lee
    Cree, Michael J.
    Dorrington, Adrian A.
    2014 IEEE SENSORS, 2014,
  • [36] Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras
    Frank, Mario
    Plaue, Matthias
    Rapp, Holger
    Koethe, Ullrich
    Jaehne, Bernd
    Hamprecht, Fred A.
    OPTICAL ENGINEERING, 2009, 48 (01)
  • [37] TIME-OF-FLIGHT SCATTERING SPECTROSCOPY
    RAITH, W
    ADVANCES IN ATOMIC AND MOLECULAR PHYSICS, 1976, 12 : 281 - 373
  • [38] Image processing for three-dimensional scans generated by time-of-flight range cameras
    Schoener, Holger
    Bauer, Frank
    Dorrington, Adrian
    Heise, Bettina
    Wieser, Volkmar
    Payne, Andrew
    Cree, Michael J.
    Moser, Bernhard
    JOURNAL OF ELECTRONIC IMAGING, 2012, 21 (02)
  • [39] Precise pulsed time-of-flight laser range finder for industrial distance measurements
    Kilpelä, A
    Pennala, R
    Kostamovaara, J
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2001, 72 (04): : 2197 - 2202
  • [40] Time-of-Flight Cameras with Multiple Distributed Illumination Units
    Lottner, O.
    Weihs, W.
    Hartmann, K.
    ISCGAV'08: PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION, 2008, : 40 - 45