Abstract
High-resolution portable projectors have become commodity items now to own – but not to use. It is not always possible to find a display area where the camera can be properly aligned so that an undistorted image be seen. We present a method to project an undistorted image using a digital projector on a piecewise-planar display area.
We use uncalibrated structured light ranging to segment the unknown projection area and further compute the homographies that map the projector space to the camera space through each of the planes. The edge detection and point-correspondences are subpixel precise. Finally, we use these computed homographies to pre-warp the display image so that a distortion-free image is visible. Our results show a seamless and correct rectification with accurate segmentation of the planes.
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References
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Raskar, R., Welch, G., Cutts, M., Lake, A., Stesin, L., Fuchs, H.: The office of the future: a unified approach to image-based modeling and spatially immersive displays. In: 25th annual conference on Computer graphics and interactive techniques, pp. 179–188 (1998)
Raskar, R., Beardsley, P.: A self-correcting projector. Computer Vision and Pattern Recognition 2, 504–508 (2001)
Heda, N.: Correcting projector display for multi planar surfaces. Master’s thesis, Indian Institute of Technology, Bombay (2005)
Raskar, R., van Baar, J., Beardsley, P., Willwacher, T., Rao, S., Forlines, C.: iLamps: geometrically aware and self-configuring projectors. ACM Trans. Graph. 22, 809–818 (2003)
Sukthankar, R., Stockton, R., Mullin, M.: Smarter presentations: Exploiting homography in camera-projector systems. In: International Conference on Computer Vision, vol. 1, pp. 247–253 (2001)
Intel: OpenCV: Open Source Computer Vision Library (2004), http://www.intel.com/research/mrl/research/opencv
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© 2006 Springer-Verlag Berlin Heidelberg
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Paidimarri, K., Chandran, S. (2006). Ad-Hoc Multi-planar Projector Displays. In: Kalra, P.K., Peleg, S. (eds) Computer Vision, Graphics and Image Processing. Lecture Notes in Computer Science, vol 4338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949619_26
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DOI: https://doi.org/10.1007/11949619_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68301-8
Online ISBN: 978-3-540-68302-5
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