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TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction

文献类型：期刊论文

作者Liu, Yanchao2,3,6; Guo, Jianwei4,6; Benes, Bedrich7; Deussen, Oliver1,5; Zhang, Xiaopeng4,6; Huang, Hui2
刊名ACM TRANSACTIONS ON GRAPHICS
出版日期2021-12-01
卷号40期号:6页码:16
关键词3D Reconstruction Procedural Modeling Deep Learning Optimization Procedural Generation Geometric Modeling
ISSN号0730-0301
DOI10.1145/3478513.3480486
通讯作者Huang, Hui(hhzhiyan@gmail.com)
英文摘要We present TreePartNet, a neural network aimed at reconstructing tree geometry from point clouds obtained by scanning real trees. Our key idea is to learn a natural neural decomposition exploiting the assumption that a tree comprises locally cylindrical shapes. In particular, reconstruction is a two-step process. First, two networks are used to detect priors from the point clouds. One detects semantic branching points, and the other network is trained to learn a cylindrical representation of the branches. In the second step, we apply a neural merging module to reduce the cylindrical representation to a final set of generalized cylinders combined by branches. We demonstrate results of reconstructing realistic tree geometry for a variety of input models and with varying input point quality, e.g., noise, outliers, and incompleteness. We evaluate our approach extensively by using data from both synthetic and real trees and comparing it with alternative methods.
WOS关键词SHAPE ; MODELS
资助项目National Key RD Program[2018YFB2100602] ; NSFC[62172416] ; NSFC[61802406] ; NSFC[U2001206] ; Guangdong Talent Program[2019JC05X328] ; Guangdong Talent Program[00201509] ; Shenzhen Science and Technology Program[RCJC20200714114435012] ; Shenzhen Science and Technology Program[JCYJ20210324120213036] ; Shenzhen Science and Technology Program[JCYJ20180507182222355] ; NSF[10001387] ; Foundation for Food and Agriculture Research[602757] ; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) ; National Engineering Laboratory for Big Data System Computing Technology ; DEGP Key Project[2018KZDXM058]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000729846700037
出版者ASSOC COMPUTING MACHINERY
资助机构National Key RD Program ; NSFC ; Guangdong Talent Program ; Shenzhen Science and Technology Program ; NSF ; Foundation for Food and Agriculture Research ; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) ; National Engineering Laboratory for Big Data System Computing Technology ; DEGP Key Project
源URL[http://ir.ia.ac.cn/handle/173211/47124]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Huang, Hui
作者单位1.Univ Konstanz, Constance, Germany
2.Shenzhen Univ, Shenzhen, Guangdong, Peoples R China
3.CASIA, NLPR, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China
5.SIAT & Univ Konstanz, Shenzhen, Guangdong, Peoples R China
6.Univ Chinese Acad Sci, Beijing, Peoples R China
7.Purdue Univ, W Lafayette, IN 47907 USA
推荐引用方式
GB/T 7714		 Liu, Yanchao,Guo, Jianwei,Benes, Bedrich,et al. TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction[J]. ACM TRANSACTIONS ON GRAPHICS,2021,40(6):16.
APA Liu, Yanchao,Guo, Jianwei,Benes, Bedrich,Deussen, Oliver,Zhang, Xiaopeng,&Huang, Hui.(2021).TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction.ACM TRANSACTIONS ON GRAPHICS,40(6),16.
MLA Liu, Yanchao,et al."TreePartNet: Neural Decomposition of Point Clouds for 3D Tree Reconstruction".ACM TRANSACTIONS ON GRAPHICS 40.6(2021):16.

入库方式： OAI收割

来源：自动化研究所

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