期刊文献+

3D扫描点云拼接数学模型中参数选择对坐标转换精度的影响 被引量:5

Influence of Coordinate Conversion Accuracy on Choosing Parameters in Mathematical Models of Point Clouds Registration
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摘要 对三维激光扫描点云拼接的数学模型进行了优化整合,并进行了分类和比较。平差参数选择的不同,数学模型在形式上的不同,坐标转换参数解的不同,扫描坐标转换后坐标的不同以及精度的差异,可以使用扫描转换的平面点位中误差、高程中误差和空间点位中误差(三项误差)来评定坐标转换精度。 The mathematical models of point clouds registration have been optimized and integrated in this paper, and the different methods have been classified and compared. The difference of adjustment parameters-choosing, mathematical models, coordinate conversion parameters, converted coordinates from scanning coordinates and var-ied accuracy can be evaluated by mean square error of a point, mean square error of height and spatial mean square error( called three MSE) .
出处 《测绘科学技术学报》 CSCD 北大核心 2014年第3期283-287,共5页 Journal of Geomatics Science and Technology
关键词 点云拼接 数学模型 平差参数 坐标转换参数 三项误差 point clouds registration mathematical model adjustment parameters coordinate conversion parame-ters three MSE
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  • 1STAIGER R. Terrestrial Laser Scanning-Technology, Systems and Applications[ C]//FIG Regional Conference. Marrakech, Morocco, 2003 : 2-5. 被引量:1
  • 2SEEGER S, LABOUREUX X. "Feature Extraction and Regis- tration", Principles of 3D Image Analysis and Synthesis [ M ]. Kluwer Academic Publication, 2000 : 153-166. 被引量:1
  • 3DRUON S, ALDON M J, CROSNIER A. Color ConstrainedICP for Registration of Large Unstructured 3D Color Data Sets [ C ]//Processing of the 2006 IEEE International Conference on Information Acquisition. Weihai, China, 2006:249-256. 被引量:1
  • 4MANDOW A, MARTINEZ J L, REINA A J, et al. Fast Range-Independent Spherical Subsampling of 3D Laser Scan- ner Points and Data Reduction Performance Evaluation for Scene Registration [ J ]. Pattern Recognition Letters, 2010,31 ( 11 ) : 1239-1250. 被引量:1
  • 5HUANG D, OUJI K, ARDABILIAN M, et al. 3D Face Recog- nition Based on Local Shape Patterns and Sparse Representa- :ion Classifier [ M ] //Advances in Multimedia Modeling. 3pringer Berlin Heidelberg, 2011 : 206-216. 被引量:1
  • 6BASDOGAN C, OZTIRELI A C. A New Feature-Based Method .'+or Robust and Efficient Rigid-Body Registration of Overlapping Point Clouds[J]+ The Visual Computer, 2008,24(7/9) :679- 588. 被引量:1
  • 7MENG Y, ZHANG H. Registration of Point Clouds Using Sam- pie-Sphere and Adaptive Distanee Restriction [ J ]. The Visual 2omputer, 2011,27(6/8) :543-553. 被引量:1
  • 8PEARS N, LIU Y, BUNTING P. 3D Imaging, Analysis and Applications [ M ]. Springer, 2012 : 223-224. 被引量:1
  • 9张剑清,翟瑞芳,郑顺义.激光扫描多三维视图的全自动无缝镶嵌[J].武汉大学学报(信息科学版),2007,32(2):100-103. 被引量:24
  • 10BARNEA S, FILIN S. Keypoint Based Autonomous Registra- tion of Terrestrial Laser Point-Clouds [ J ]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008,63( 1 ) : 19-35. 被引量:1

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