| Fast Visual Modeling for Plant
Based on Real Images |
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| 作者姓名： | " target="_blank">LI Yun-feng ZHU Qing-sheng" target="_blank">ZHU Qing-sheng CAO Yu-kun" target="_blank">CAO Yu-kun LIU Yin-bin" target="_blank">LIU Yin-bin HE Xi-ping" target="_blank">HE Xi-ping |
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| 作者单位： | LI Yun-feng（College of Computer Science, Chongqing University,
Chongqing 400044, China）
ZHU Qing-sheng（College of Computer Science, Chongqing University,
Chongqing 400044, China）
CAO Yu-kun（College of Computer Science, Chongqing University,
Chongqing 400044, China）
LIU Yin-bin（Department of Economics and Management, Tongji University,
Shanghai 200092, China）
HE Xi-ping（College of Computer Science, Chongqing University,
Chongqing 400044, China） |
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| 摘 要： |
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Fast Visual Modeling for Plant Based on Real Images |
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| LI Yun-feng,ZHU Qing-sheng,CAO Yu-kun,LIU Yin-bin,HE Xi-ping.Fast Visual Modeling for Plant
Based on Real Images[J].Journal of Shanghai University(Natural Science),2004,10(Z1):166-171. |
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| Authors: | LI Yun-feng ZHU Qing-sheng CAO Yu-kun LIU Yin-bin HE Xi-ping |
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| Abstract: | Structures of natural plants are complex and difficult to model. This paper proposes a fast visual modeling for plants based on a small set of images, and establishes a reasonable plant model.Based on knowledge about growth patterns of the plant, image segmentation and 3D reconstruction are first performed to construct the plant skeleton (trunk and major branches), from which the remainder of the plant grows. Then the system produces the realistic plant model images based on image synthesis and validation. It is unnecessary to acquire the complex structure (such as the complex production rules of L-systems). The method provides a high degree of control over the final shape by image validation,resulting in realistic reconstruction. |
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| Keywords: | virtual plant L-systems 3D reconstruction image segmentation |
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