DEPTH CAMERA TECHNOLOGY COMPARISON AND PERFORMANCE EVALUATION
作者： Otmar Loffeld , Benjamin Langmann , Klaus Hartmann
DOI:
关键词: Hardware implementations 、 Common area 、 Computer science 、 Artificial intelligence 、 Computer vision 、 Computer graphics (images) 、 Noise level 、 Set (abstract data type)
摘要: How good are cheap depth cameras, namely the Microsoft Kinect, compared to state of art Time-of- Flight cameras? In this paper several cameras different types were put test on a variety tasks in order judge their respective performance and find out weaknesses. We will concentrate common area applications for which both specified, i.e. near field indoor scenes. The characteristics limitations technologies as well concrete hardware implementations discussed evaluated with set experimental setups. Especially, noise level axial angular resolutions compared. Additionally, refined formulas generate values based raw measurements Kinect presented.
uni-siegen.de 参考文章(11)
Fabio Remondino, Hilmar Ingensand, Timo Kahlmann, Calibration for increased accuracy of the range imaging camera SwissRanger Proceedings of the ISPRS Commission V Symposium 'Image Engineering and Vision Metrology'. pp. 136- 141 ,(2006) , 10.3929/ETHZ-B-000369707
Athanasia Louloudi, Henrik Andreasson, Achim J. Lilienthal, Todor Stoyanov, Comparative evaluation of range sensor accuracy in indoor environments european conference on mobile robots. pp. 19- 24 ,(2011)
Wolfgang Boehler, Investigating Laser Scanner Accuracy ,(2005)
O. Lottner, K. Hartmann, W. Weihs, Time-of-flight cameras with multiple distributed illumination units ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision. pp. 40- 45 ,(2008)
Filiberto Chiabrando, Roberto Chiabrando, Dario Piatti, Fulvio Rinaudo, Sensors for 3D Imaging: Metric Evaluation and Calibration of a CCD/CMOS Time-of-Flight Camera Sensors. ,vol. 9, pp. 10080- 10096 ,(2009) , 10.3390/S91210080
H Rapp, M Frank, FA Hamprecht, B Jahne, None, A theoretical and experimental investigation of the systematic errors and statistical uncertainties of Time-Of-Flight-cameras International Journal of Intelligent Systems Technologies and Applications. ,vol. 5, pp. 402- 413 ,(2008) , 10.1504/IJISTA.2008.021303
Matthias Wiedemann, Markus Sauer, Frauke Driewer, Klaus Schilling, Analysis and characterization of the PMD camera for application in mobile robotics IFAC Proceedings Volumes. ,vol. 41, pp. 13689- 13694 ,(2008) , 10.3182/20080706-5-KR-1001.02318
Malcolm Reynolds, Jozef Dobos, Leto Peel, Tim Weyrich, Gabriel J Brostow, Capturing Time-of-Flight data with confidence CVPR 2011. pp. 945- 952 ,(2011) , 10.1109/CVPR.2011.5995550
Jochen Radmer, Pol Moser Fuste, Henning Schmidt, Jorg Kruger, Incident light related distance error study and calibration of the PMD-range imaging camera computer vision and pattern recognition. pp. 1- 6 ,(2008) , 10.1109/CVPRW.2008.4563168
Christian Beder, Bogumil Bartczak, Reinhard Koch, A Comparison of PMD-Cameras and Stereo-Vision for the Task of Surface Reconstruction using Patchlets computer vision and pattern recognition. pp. 1- 8 ,(2007) , 10.1109/CVPR.2007.383348