Dynamic visual image modeling for 3D synthetic scenes in agricultural engineering

Li Gao; Juntao Yan; Xiaobo Li; Yatai Ji; Xin Li

doi:10.1117/12.2019612

4 March 2013 Dynamic visual image modeling for 3D synthetic scenes in agricultural engineering

Li Gao, Juntao Yan, Xiaobo Li, Yatai Ji, Xin Li

Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 876106 (2013) https://doi.org/10.1117/12.2019612
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China

Abstract

The dynamic visual image modeling for 3D synthetic scenes by using dynamic multichannel binocular visual image based on the mobile self-organizing network. Technologies of 3D modeling synthetic scenes have been widely used in kinds of industries. The main purpose of this paper is to use multiple networks of dynamic visual monitors and sensors to observe an unattended area, to use the advantages of mobile network in rural areas for improving existing mobile network information service further and providing personalized information services. The goal of displaying is to provide perfect representation of synthetic scenes. Using low-power dynamic visual monitors and temperature/humidity sensor or GPS installed in the node equipment, monitoring data will be sent at scheduled time. Then through the mobile self-organizing network, 3D model is rebuilt by synthesizing the returned images. On this basis, we formalize a novel algorithm for multichannel binocular visual 3D images based on fast 3D modeling. Taking advantage of these low prices mobile, mobile self-organizing networks can get a large number of video from where is not suitable for human observation or unable to reach, and accurately synthetic 3D scene. This application will play a great role in promoting its application in agriculture.

Citation Download Citation

Li Gao, Juntao Yan, Xiaobo Li, Yatai Ji, and Xin Li "Dynamic visual image modeling for 3D synthetic scenes in agricultural engineering", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876106 (4 March 2013); https://doi.org/10.1117/12.2019612

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