Correction of Photometric Distortion of a Micro Camera-Projector System for Structured Light 3D Scanning
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
This paper addresses photometric distortion problems of a compact 3D scanning sensor which is composed of a micro-size and inexpensive camera-projector system. Recently, many micro-size cameras and projectors are available. However, erroneous 3D scanning results may arise due to the poor and nonlinear photometric properties of the sensors. This paper solves two inherent photometric distortions of the sensors. First, the response functions of both the camera and projector are derived from the least squares solutions of passive and active calibration, respectively. Second, vignetting correction of the vision camera is done by using a conventional method, however the projector vignetting is corrected by using the planar homography between the image planes of the projector and camera, respectively. Experimental results show that the proposed technique enhances the linear properties of the phase patterns that are generated by the sensor.
Abstract
This paper addresses photometric distortion problems of a compact 3D scanning sensor which is composed of a micro-size and inexpensive camera-projector system. Recently, many micro-size cameras and projectors are available. However, erroneous 3D scanning results may arise due to the poor and nonlinear photometric properties of the sensors. This paper solves two inherent photometric distortions of the sensors. First, the response functions of both the camera and projector are derived from the least squares solutions of passive and active calibration, respectively. Second, vignetting correction of the vision camera is done by using a conventional method, however the projector vignetting is corrected by using the planar homography between the image planes of the projector and camera, respectively. Experimental results show that the proposed technique enhances the linear properties of the phase patterns that are generated by the sensor.
참고문헌 (9)
- J. Pages, "Overview of coded light projection techniques forautomatic 3D profiling", IEEE InternationalConference on Robotics and Automation (2003)
- R. Sukthankar, "Smarter presentations: Exploiting homography incamera-projector systems", Proceedings of InternationalConference on Computer Vision, 1, pp.247~253 (2001)
- R. Raskar, "A self correcting projector", IEEE Computer Vision and Pattern Recognition, pp.626~631 (2001)
- W. Yu, "Practical anti-vignetting methods for digital cameras", IEEE Trans. on Consumer Electronics, 50(4), pp.975~983 (2004)
- A. Litvinov, "Addressing radiometric nonidealities: A unified framework", Proc. IEEE Conf. Computer Vision and Pattern Recognition, II, pp.52~59 (2005)
- D. B Goldman, "Vignette and exposure calibration and compensation", Proc. IEEE Int. Conf. on Computer Vision, pp.899~906 (2005)
- P. E. Debevec, "Recovering high dynamic range radiance maps from photographs" (1997), SIGGRAPH
- S. Mann, "Quantigraphic imaging : Estimating the camera response and exposures from differently exposed images", Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp.842~849 (2001)
- P. S. Huang, "Fast three-step phaseshifting algorithm", Appl. Opt, 45(21), pp.5086~5091 (2006)