期刊文献+

一种基于网格模型简化的热核特征提取算法 被引量:1

Heat Kernel Signature Extraction Algorithm Based on Mesh Simplification
下载PDF
导出
摘要 热核特征提取算法是近几年出现的一种三维模型特征提取算法。针对热核特征计算效率低,对顶点数目过多的三维模型处理时间过久甚至是无法处理的问题,采用基于二次误差测度网格模型简化算法对三维模型进行预处理,并对简化后的模型提取其热核特征。实验表明经过简化后的模型处理效率高,比直接对原始模型提取热核特征耗时减少,原始模型顶点数越多效率提升越明显。简化后模型的热核特征与原始模型结果基本一致,满足模型匹配的要求。 Heat kernel signature has been proposed for 3D model feature extraction in recent years. However, the performance of heat kernel signature is inefficient, especially when the models have large number of vertices. Mesh simplification algorithm based on quadric error metrics was used to preprocess 3D model and the heat kernel signature was calculated based on the simplified model. Experiments show that the feature extracting time of the simplified model is less than the original model. The more vertices of the original model, the more obvious of the improved efficiency. The heat kernel signature of simplified model is consistent with the original model, which can satisfy the requirement of 3D model retrieval.
出处 《系统仿真学报》 CAS CSCD 北大核心 2016年第10期2546-2552,2559,共8页 Journal of System Simulation
基金 北京市自然科学基金(4162019) 北京市教委科研计划(QKM201610011010)
关键词 非刚性三维模型 网格模型简化 热核特征 特征提取 non-rigid 3D model mesh simplification heat kernel signature feature extraction
  • 相关文献

参考文献17

  • 1杨育彬,林珲,朱庆.基于内容的三维模型检索综述[J].计算机学报,2004,27(10):1297-1310. 被引量:95
  • 2Zou K S, Ip W H, Wu C H, et al. A novel 3D model retrieval approach using combined shape distribution [J]. Multimedia Tools & Applications (S1380-7501), 2014, 69(3): 799-818. 被引量:1
  • 3Wang M, Gao Y, Lu K, et al. View-based discriminative probabilistic modeling for 3d object retrieval and recognition [J]. IEEE Transactions on Image Processing (S1057-7149), 2013, 22(4): 1395-1407. 被引量:1
  • 4Combining topological and view-based features for 3D model retrieval [J]. Multimedia Tools & Applications (S1380-7501), 2013, 65(3): 335-361. 被引量:1
  • 5Lian Z, Godil A, Bustos B, et al. A comparison of methods for non-rigid 3D shape retrieval [J]. Pattern Recognition (S0031-3203), 2013, 46(1): 449-461. 被引量:1
  • 6Jain V, Zhang H. A spectral approach to shape-based retrieval of articulated 3D models [J]. Computer-Aided Design (S0010-4485), 2007, 39(5): 398-407. 被引量:1
  • 7Sun J, Ovsjanikov M, Guibas L. A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion [C]// Computer Graphics Forum (SO 167-7055). USA: Blackwell Publishing Ltd, 2009, 28(5): 1383-1392. 被引量:1
  • 8Bronstein M M, Kokkinos I. Scale-invariant heat kernel signatures for non-rigid shape recognition [C]// IEEE Conference on Computer Vision & Pattern Recognition. USA: IEEE, 2010: 1704-1711. 被引量:1
  • 9Raviv D, Bronstein M M, Bronstein A M, et al. Volumetric heat kernel signatures [C]// Proceedings of the ACM workshop on 3D object retrieval. USA: ACM, 2010: 39-44. 被引量:1
  • 10Kovnatsky A, Bronstein M M, Bronstein A M, et al. Photometric heat kernel signatures [M]//Scale Space and Variational Methods in Computer Vision. Berlin Heidelberg, Germany: Springer, 2012: 616-627. 被引量:1

二级参考文献84

  • 1周晓云 刘慎权.基于特征角准则的多面体模型简化方法[J].计算机学报,1996,19:217-223. 被引量:7
  • 2李现民.三角网格简化及等值面抽取技术[博士学位论文].中国科学院计算技术研究所,2001.. 被引量:1
  • 3Elad M. , Tal A. , Ar S.. Content based retrieval of VRML objects - an iterative and interactive approach. In: Proceedings of Eurographics Workshop on Multimedia, Manchester, UK,2001, 97~108 被引量:1
  • 4Teh C. , Chin R. T.. On image analysis by the methods of moments. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1988, 10(4): 496~513 被引量:1
  • 5Canterakis N.. Fast 3d zernike moments and invariants. Institute for Computer Science, University of Freiburg, Freiburg,Germany: Technical Report 5-97, 1997 被引量:1
  • 6Besl P.. Triangles as a primary representation. In: Proceedings of International NSF-ARPA Workshop on Object Representation in Computer Vision, New York, USA, 1994, 191~206 被引量:1
  • 7Suzuki M.. A web-based retrieval system for 3d polygonal models. In: Proceedings of Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver, Canada,2001, 2271~2276 被引量:1
  • 8Gain J. , Scott J.. Fast polygon mesh querying by example.In: Proceedings of ACM SIGGRAPH, Technical Sketches,Los Angeles, USA, 1999, 241 被引量:1
  • 9Ibato M. , Otagiri T. , Ohbuchi R.. Shape-similarity search of three-dimensional models based on subjective measures. Information Processing Society of Japan, Japan: Technical Report 2002-CG-106, 2002 被引量:1
  • 10Vapnik V.. The Nature of Statistical Learning Theory. 2nd Edition. Berlin: Springer-Verlag, 1999 被引量:1

共引文献150

同被引文献11

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部