3D Plants Reconstruction based on Point Cloud

doi:10.23940/ijpe.18.01.p13.121133

Abstract

Abstract:

Plant modeling based on point cloud is more difficult than others because of the noise-edge bonding. We present a method called the limited detail multi-density plants modeling to address these problems mentioned above. The core of the proposed method is a point-to-surface approach, which constantly refines the density of points with original RGB information to generate the fuzzy surface. Compared to conventional plants mesh models, the primary advantage of our approach is that it does not compute the steps of texture and illumination, and saves rendering time and storage space. We validate our method with both leaves and simple plants, and demonstrate that the limited detail multi-density point reconstruction is feasible, and it can generate good results with fast speed while using less storage space.

Submitted on November 12, 2017; Revised on November 30, 2017; Accepted on December 20, 2017
References: 22

Lanling Zeng, LingLing Zhang, Yang Yang, Wei Zhang, and Yongzhao Zhan. 3D Plants Reconstruction based on Point Cloud [J]. Int J Performability Eng, 2018, 14(1): 121-133.

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References 0

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