Abstract
As technology advances, mobile devices have become indispensable 3C products. Smart phones and tablet computers have become the favorite products of technology, and they are commonly seen everywhere. In addition to making phone calls and sending messages, people also use smart phones and tablet computers to browse the Internet, listen to music, take videos and pictures, and play games, all of which have become an integral part of people’s lives. In addition, according to a market survey, the most expected function of future smart phones by consumers is the projection. However, the projection will accelerate the battery power consumption. In this paper, we conducted an auto-calibration based on homography relationship in mobile smart-project device system to take advantage of the capability of the projector to project an image onto any opaque and unflat plane, thus breaking through the restricted display interfaces of mobile devices. Moreover, we also proposed the method that named FDPA (standing for Fast Detecting Projection Area) to reduce the battery power consumption via decreasing the calculation cost of the auto-calibration. The experimental results show that FDPA is able to improve the dynamic projection performance and to reduce battery power consumption in the mobile smart-projector device system. This was expected to help further develop an interactive projection system between mobile devices, adding diversity to mobile device applications and development.
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References
Baxes GA (1994) Digital image processing: principles and applications. John Wiley and Sons
Bimber O, Emmerling A, Klemmer T (2005) Embedded entertainment with smart projectors. IEEE Comput 38:48–55. doi:10.1109/MC.2005.17
Fiala M (2005) Automatic projector calibration using self-identifying patterns. Proc CVPR’2005 pp 113. doi:10.1109/CVPR.2005.416
Fujii K, Grossberg MD, Nayar SK (2005) A projector-camera system with real-time photometric adaptation for dynamic environments. Proc CVPR’2005 pp 814–821. doi:10.1109/CVPR.2005.42
Gonzalez RC, Wintz P, Eddins SL (2002) Digital image processing using MATLAB. Addision-Wesley Publishing Company
Griminisi A (2011) Accurate visual metrology from single and multiple uncalibrated images. Springer
Huang CH, Chia TL (2001) A fast method for virtual advertising based on geometric invariant-A tennis match case. Proc ICVGIP’01 pp 113–119
Lee WY, Chia TL (2010) Low-cost smart projector for home entertainment. J Inf Sci Eng 26:1637–1655
Li B, Sezan I (2004) Automatic keystone correction for smart projectors with embedded camera. Proc ICIP’04 pp 2829–2832. doi:10.1109/ICIP.2004.1421693
Majumder A, Stevens R (2004) Color nonuniformity in projection-based displays: analysis and solutions. IEEE Trans Vis Comput Graph 10:177–188. doi:10.1109/TVCG.2004.1260769
Okatani K, Deguchi K (2003) Autocalibration of a projector-screen-camera system: theory and algorithm for screen-to-camera homography estimation. Proc ICCV’03 pp 774–781. doi:10.1109/ICCV.2003.1238427
Okatani K, Deguchi K (2005) Autocalibration of a projector-camera system. IEEE Trans Pattern Anal Mach Intell 27:1845–1855. doi:10.1109/TPAMI.2005.235
Sukthankar R, Stockton RG, Mullin MD (2001) Smarter presentations: exploiting homography in camera-projector systems. Proc ICCV’01 pp 247–253. doi:10.1109/ICCV.2001.937525
Tardif JP, Roy S, Trudeau M (2003) Multi-projectors for arbitrary surfaces without explicit calibration nor reconstruction. Proc 3DIM’03 pp 217–224. doi:10.1109/IM.2003.1240253
Torre V, Poggio T (1986) On edge detection. IEEE Trans Pattern Anal Mach Intell 8:147–163. doi:10.1109/TPAMI.1986.4767769
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Huang, XM., Chiou, Y. Using homography relationship for auto-calibration in mobile smart-project device system. Multimed Tools Appl 74, 8293–8311 (2015). https://doi.org/10.1007/s11042-013-1783-3
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DOI: https://doi.org/10.1007/s11042-013-1783-3