邹冬,庞明勇.点云模型特征的提取算法[J].农业机械学报,2011,42(11):222-227.
Zou Dong,Pang Mingyong.Algorithm for Extracting Sharp Features from Point Cloud Models[J].Transactions of the Chinese Society for Agricultural Machinery,2011,42(11):222-227.
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点云模型特征的提取算法   [下载全文]
Algorithm for Extracting Sharp Features from Point Cloud Models   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  点云模型  特征提取  移动最小二乘法
基金项目:国家自然科学基金资助项目(60873175);安徽省高校省级自然科学研究资助项目(KJ2010B423、KJ2010B142)
作者单位
邹冬 南京师范大学 
庞明勇 南京师范大学 
中文摘要:提出一种基于移动最小二乘法的点云模型尖锐特征提取算法。首先使用投影残差来识别潜在的特征点,然后采用一种优化的主元分析法光顺潜在的特征点,再利用改进的折线生长方法生成特征线,最后为模型建立角点完善提取的特征线。实验表明,本文算法运行稳定,性能优于其他算法,可以准确地捕捉点云模型上的特征线。
Zou Dong  Pang Mingyong
Nanjing Normal University;Nanjing Normal University
Key Words:Point clouds  Feature extraction  Moving least squares
Abstract:Based on the moving least squares method, a method for extracting feature curves from point clouds was presented. Firstly the algorithm calculated projection residuals and potential feature points were identified in point cloud model. The potential feature points were then smoothed by employing a modified version of the principal component analysis approach. Subsequently, a feature-polyline propagation technique was used to approximate the feature points by a set of polylines. Finally the feature curves were optimized by the algorithm to resolve gaps and recover the junctions. Experiments show that the algorithm is very robust, and it can extract feature curves from various point clouds.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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