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Research of 3D Virtual Scene Generation and Visualization Based on Images

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Ecosystem Assessment and Fuzzy Systems Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 254))

Abstract

Recently, virtual reality technology provides a new way for spatial information visualization; it has become a popular research topic in the field of computer graphics, computer visual and image processing, and other areas. This chapter first discusses the image-based modeling and rendering techniques (referred IBMR) and detailed analysis plenoptic functions, which describes technical theory basis of IBMR. And then in the current domestic, the three typical methods of 3D virtual scene generation based on panorama, concentric mosaics, and light field are studied. Finally, the chapter gives the principles of 3D virtual scene generation and processes based on panorama, those processes including projection transformation, image registration, image fusion, and inverse reprojection transformation. Because the above-studied technical methods can quickly and efficiently generate the panorama and can achieve a smooth transition between images coherent, they have been successfully applied to ecotourism site of Hainan virtual panoramic sights show. This method has better visual effects and application.

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Acknowledgments

This study was supported by the Hainan Natural Science Foundation (No: 612121, 612126), supported by the key Science and Technology Projects of Haikou City in 2010 (No: 2012-017) and was supported by disciplines project of Hainan Normal University expressed his thanks in this together.

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Correspondence to Jian-ping Feng .

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Feng, Jp., Wu, Lh., Ma, SQ. (2014). Research of 3D Virtual Scene Generation and Visualization Based on Images. In: Cao, BY., Ma, SQ., Cao, Hh. (eds) Ecosystem Assessment and Fuzzy Systems Management. Advances in Intelligent Systems and Computing, vol 254. Springer, Cham. https://doi.org/10.1007/978-3-319-03449-2_34

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  • DOI: https://doi.org/10.1007/978-3-319-03449-2_34

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  • Print ISBN: 978-3-319-03448-5

  • Online ISBN: 978-3-319-03449-2

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