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Building a Virtual Reality System for Intelligent Agriculture Greenhouse Based on Web3D

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Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration (ICSEE 2017, LSMS 2017)

Abstract

The inevitable trend of agricultural development in China is to realize real-time monitoring, visualization and management of intelligent agriculture greenhouse. This paper presents a virtual reality system that is developed for an intelligent agricultural greenhouse using Web3D. Both virtual reality and image matching technology are integrated to construct such a VR system. The basic roaming interactive function of the system is realized using 3DS MAX modelling technology and virtual reality platform (VRP). An improved SIFT algorithm is proposed to complete panoramic image mosaic, which is on the basis of SIFT feature matching algorithm combined with Harris algorithm. Finally, the 3D visualization of agricultural greenhouse, the data management and real-time interactive control are realized and tested.

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References

  1. Ding, W., Jin, H., Cheng, Z., et al.: A visualization system for tomato plant modelling. In: 8th International Conference on Computer Graphics, Imaging and Visualization (CGIV), pp. 160–165 (2011)

    Google Scholar 

  2. Honda, H.: Description of the form of trees by the parameters of the tree-like body: effects of the branching angle and the branch length on the shape of the tree-like body. J. Theor. Biol. 31(2), 331–338 (1971)

    Article  Google Scholar 

  3. Wang, K.C., Ma, R.J.: Virtual reality technology and its application in agricultural machinery design. J. Syst. Simul. 18(2), 500–503 (2006)

    Google Scholar 

  4. Takahashi, F., Abe, H., Koeduka, T., et al.: Development of design and operation supporting techniques for product inspection devices using virtual devices. In: The 14th IAPR International Conference on Machine Vision Applications (MVA), pp. 271–274 (2015)

    Google Scholar 

  5. McInerney, T., Tran, D.: Aperio: a system for visualizing 3D anatomy data using virtual mechanical tools. In: Bebis, G., et al. (eds.) ISVC 2015. LNCS, vol. 9474, pp. 797–808. Springer, Cham (2015). doi:10.1007/978-3-319-27857-5_71

    Chapter  Google Scholar 

  6. Google, GoogleStreetView [EB/OL] (2013). http://www.google.com/intl/en_us/help/maps/streetview/

  7. Yang, M.D., Chao, C.F., Huang, K.S., et al.: Image-based 3D scene reconstruction and exploration in augmented reality. Autom. Constr. 33, 48–60 (2013)

    Article  Google Scholar 

  8. Hauswiesner, S., Straka, M., Reitmayr, G.: Virtual try-on through image-based rendering. IEEE Trans. Visual Comput. Graph. 19(9), 1552–1565 (2013)

    Article  Google Scholar 

  9. He, B., Tao, D., Peng, B.: High real-time F-SIFT image mosaic algorithm. Infrared Laser Eng. 42(52), 440–444 (2013)

    Google Scholar 

  10. Ali, N., Bajwa, K.B., Sablatnig, R., et al.: A novel image retrieval based on visual words integration of SIFT and SURF. PLoS ONE 11(6), e0157428 (2016)

    Article  Google Scholar 

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Acknowledgments

This work is supported by Key Project of Science and Technology Commission of Shanghai Municipality under Grant Nos. 14DZ1206302 and 14JC1402200. The authors would like to thank editors and anonymous reviewers for their valuable comments and suggestions to improve this paper.

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Correspondence to Li Deng .

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Huang, Q., Deng, L., Fei, M., Hu, H. (2017). Building a Virtual Reality System for Intelligent Agriculture Greenhouse Based on Web3D. In: Li, K., Xue, Y., Cui, S., Niu, Q., Yang, Z., Luk, P. (eds) Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 763. Springer, Singapore. https://doi.org/10.1007/978-981-10-6364-0_78

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  • DOI: https://doi.org/10.1007/978-981-10-6364-0_78

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6363-3

  • Online ISBN: 978-981-10-6364-0

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