期刊文献+

三维重建中深度图像配准方法研究

Research of Range Image Registration on 3D Reconstruction
下载PDF
导出
摘要 三维重建是计算机视觉的主要目的,也是计算机图形学领域的研究热点。通过两两配准和多视角配准的深度介绍和举例说明,系统介绍了深度图像配准方法。通过这些方法可以大大简化三维物体的识别和定位等问题,开辟了机器视觉的一个新途径。 3D reconstruction is the main purpose of computer vision,which is also the hotspot in computer graphics research.Through the introduction of pairwise registration and multi-view registration,the article describes the methods of range image registration systematically.These methods can greatly simplify the three-dimensional object recognition and localization issues,opening up a new way to machine vision.
出处 《电脑开发与应用》 2010年第11期10-12,15,共4页 Computer Development & Applications
基金 电科院预研资助项目(YYDZ0605)
关键词 三维重建 深度图像 图像配准 3D reconstruction range image image registration
  • 相关文献

参考文献8

  • 1刘钢,彭群生,鲍虎军.基于图像建模技术研究综述与展望[J].计算机辅助设计与图形学学报,2005,17(1):18-27. 被引量:57
  • 2Salvi J, Matabosch C, Foil D et al. A Review of Recent Range Image Registration Methods with Accuracy Evaluation [ J ]. Image Vision Comput ,2007,25(5):578-596. 被引量:1
  • 3周颖..深度图像的获取及其处理[D].西安电子科技大学,2008:
  • 4周亚平..图像配准技术研究[D].西安电子科技大学,2008:
  • 5Yoichi Sato, Mark D Wheeler, Katsushi Ikeuchi. Object Shape and Reflectance Modeling from Observation [C]//In: Proceedings of Computer Graphics, Annual Conference Series, ACM SIGGRAPH, Los Angles, 1997: 379-387. 被引量:1
  • 6张宗华,彭翔,胡小唐.获取ICP匹配深度图像初值的研究[J].工程图学学报,2002,23(1):78-84. 被引量:10
  • 7张鸿宾,唐积尧.多视点距离图象集成的截平面法[J].高技术通讯,1998,8(5):24-29. 被引量:2
  • 8伍毅..三维扫描信息获取的深度图像配准算法设计及开发[D].浙江大学,2005:

二级参考文献92

  • 1Amenta N, Bern M, Kamvysselis M. A new Voronoi-based surface reconstruction algorithm[A]. In: Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Orlando, Florida, 1998. 415~420. 被引量:1
  • 2Hoppe H, Derose T, Duchamp T, et al. Mesh optimization[J]. Computer Graphics, 1993, 27(3): 19~26. 被引量:1
  • 3Garland M, Heckbert P S. Surface simplication using quadric error metrics[A]. In: Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Los Angeles, California, 1997. 209~216. 被引量:1
  • 4Hoover A, Jean-Baptiste G, Jiang X, et al. An experimental comparison of range image segmentation algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(7): 673~689. 被引量:1
  • 5Shi J, Malik J. Normalized cuts and image segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(8): 888~905.?A 被引量:1
  • 6Yu Y, Ferencz A, Malik J. Extracting objects from range and radiance images[J]. IEEE Transactions on Visualization and Computer Graphics, 2001, 7(4): 351~364. 被引量:1
  • 7Carr J C, Mitchell T J, Beatson R K, et al. Reconstruction and representation of 3D objects with radial basis functions[A]. In: Computer Graphics Proceedings, Annual Conference Series, ACM SIGGRAPH, Los Angeles, California, 2001. 67~76. 被引量:1
  • 8Wang J N, Oliveira M M. Improved scene reconstruction from range images[J]. Computer Graphics Forum, 2002, 21(3): 521~530. 被引量:1
  • 9Bouguet J Y, Perona P. 3D photography on your desk[A]. In: Proceedings of International Conference on Computer Vision, Bombay, India, 1998. 43~50. 被引量:1
  • 10Proesmans M, Van Gool L, Defoort F. Reading between the lines-A method for extracting dynamic 3D with texture[A]. In: Proceedings of International Conference on Computer Vision, Bombay, India, 1998. 1081~1086. 被引量:1

共引文献66

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