Abstract
Projection fusion technology plays an important role in the domain of multimedia display. It implements many functions such as seamless splicing and color enhancement by the treatment of multiple projectors’ projection fusion. At present, projection fusion technology can be used to seamless splicing of large projection screen, but the carriers of projection still remain in the level of 2D or 2.5D. However, the fusion method for the 3D entity projection has more complex factors except the simple overlap of the illumination. This paper bases on the existing fusion technology, and makes up for the mistake of uncontrollable optical path in the 3D projection fusion technology using image deformation. By improving the algorithm of MLS Image Deformation, the algorithm of MLS image deformation can be adapted to the calculation of the GPU framework to dispose of sequences of projection. The paper provides a visual effect of the fusion technology by the projection experiments, and makes the comparison of efficiency between the common algorithm and the improved algorithm of this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Liu, F.: Realization of New Multi Projection Fusion Algorithm Based on GPU Acceleration. Electronic Technology & Software Engineering (19), 204–206 (2013)
Zhang, N.: New Direction of Projection. Chinese Computer, (020), 10 September 2012
Zhu, L., Sun, F., Xia, F.: Review on image fusion research. Transducer and Microsystem Technologies. 33(02), 14–18 (2014)
Hua, S., Liu, T.: Study on image deformation base on moving lest squares. Journal of Computer Applications 29(01), 71–73 (2009)
Li, H., Kang, B., Lei, Z.: Image Deformation Based on Wavelet Filter Using Moving Least Squares. Journal of Chinese Computer Systems (08), 1900–1903 (2013)
Schaefer, S., McPhal, T., Warren, J.: Image Deformation using Moving Least Squares. ACM Trans. Graph. 25(3), 533–540 (2006)
Zeng, J.: Research on Image Edge Detection and Its Application. Huazhong University of science and technology (2011)
Wei, W., Rui, X.: Study on Edge Detection Method. Computer Engineering and Applications (30), 88–91 (2006)
Alexa, M., Cohen-Or, D., Levin, D.: As-rigid-as-possible shape interpolation. In: Proceedings of ACM SIGGRAPH 2000, pp. 157–164. ACM Press/Addison-Wesley Publishing Co., New York (2000)
Maccracken, R., Joy, K.I.: Free-form deformations with lattices of arbitrary topology. In: Proceedings of ACM SIGGRAPH 1986, pp. 151–160. ACM Press (1996)
Luo, R.C., Kay, M.G.: Multisensor Integration And Fusion For Intelligent Machines And Systems, pp. 1–25. Ablex Publishing Corporation, New Jersey (1995)
Varshney, P.K.: Multisensor data fusion. Electronics and Communication Engineering Journal (06), 245–253 (1997)
Yocky, D.A.: Image Merging and Data Fusion by Means of the Discrete Two-dimensional Wavelet Transform. Journal of the Optical Society of America (09), 1834–1841 (1995)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Yao, M., Shufen, L., Lu, H. (2015). The Research of 3D Projection Fusion Technology Based on Image Deformation. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-15554-8_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15553-1
Online ISBN: 978-3-319-15554-8
eBook Packages: Computer ScienceComputer Science (R0)