期刊文献+

一种结合明暗信息和纹理信息的形状恢复算法 被引量:1

Shape recovery algorithm based on both shading and texture information
下载PDF
导出
摘要 实际图像往往既包含明暗信息又包含纹理信息,为了更有效地利用这些信息进行形状恢复,研究了一种结合明暗信息和纹理信息的形状恢复算法,用SFS方法对图像中的明暗信息进行处理,然后用SFT方法对图像中纹理信息进行分析,并结合SFS方法的结果对形状进行恢复.最后给出了该方法对图像的恢复结果并进行了分析.实验结果证明,该算法的性能优于SFS算法和SFT算法. Real images usually contain not only shading information but also texture information. In order to utilize the infor- mation more efficiently, the shape recovery method based on combined shading information and texture informa- tion of an image is studied. The shading information of the image is analyzed by SFS method, and texture infor- mation is analyzed by SFF method. The shape is recovered by combining SFS method and SFF method. The shape recovery results are shown and analyzed. And the result shows that the algorithm studied has better performance than SFS algorithm and SFT algorithm.
出处 《天津工业大学学报》 CAS 北大核心 2012年第3期60-64,共5页 Journal of Tiangong University
基金 国家自然科学基金资助项目(61102150) 天津市科技支撑重点项目(10ZCKFGX00300)
关键词 三维重建 明暗信息 纹理信息 形状恢复算法 3-D shape recovery shading information texture information shape recovery algorithm
  • 相关文献

参考文献11

  • 1HORN B K P.Shape from shading:A method for obtaining theshape of smooth opaque object from one view[D].Cambridge:Massachusetts Institute of Technology,1970.
  • 2MICHAEL B,CHUL J Y.Shape from shading with specularhighlights:Analysis of the Phong model[C] //IEEE InternationalConference on Image Processing(ICIP).2011:9-12.
  • 3MA Qian,ZOU Cheng-ming.3D shape reconstruction from asingle Image[C] //International Conference on Internet Technol-ogy and Applications(ITAP).2011:1-4.
  • 4王瑞胡.基于Shape from Shading的医学图像三维重建[J].计算机工程与应用,2008,44(6):222-224. 被引量:5
  • 5CLERC M,MALLAT S.The texture gradient equation for re-covering shape from texture[J].IEEE Transactions on PatternAnalysis and Machine Intelligence,2002,24(4):536-549.
  • 6FORSYTH D A.Shape from texture without boundaries[C] //European Conference on Computer Vision.2002:225-239.
  • 7LOH A M.The recovery of 3-D structure using visual texturepatterns[D].Perth:The University of Western Australia,2006.
  • 8RARA H M,FARAG A A,DAVIS T.Model-based 3D shaperecovery from single images of unknown pose and illuminationusing a small number of feature points[C] //International JointConference on Biometrics(IJCB).2011:1-7.
  • 9王强,彭思龙,李振伟.基于尺度不变特征的从纹理回复形状[J].计算机工程,2009,35(2):216-218. 被引量:1
  • 10SUPER B J,BOVIK A C.Shape from texture using localspectral moments[J].IEEE Transactions on Pattern Analysisand Machine Intelligence,1995,17(4):333-343.

二级参考文献13

  • 1Marinos C, Blake A. Shape from Texture: The Homogeneity Hypothesis[C]//Proc. of International Conference on Computer Vision. Osaka, Japan: [s. n.], 1990: 350-353.
  • 2Super B J, Bovik A C. Shape from Texture Using Local Spectral Moments[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(4): 333-343.
  • 3Loh A, Hartley R. Shape from Non-homogeneous, Non-stationary, Anisotropic, Perspective Texture[C]//Proc. of the British Machine Vision Conference. Oxford, UK: [s. n.], 2005: 69-78.
  • 4Criminisi A, Zisserman A. Shape from Texture: Homogeneity Revisited[C]//Proceedings of the British Machine Vision Conference. Bristol, UK: [s. n.], 2000:82-91.
  • 5Lowe D G. Distinctive Image Features from Scale-invariant Keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.
  • 6Sonka M,Hlavac V,Boyle R.Image processing,analysis,and machine vision[M].[S.l.]:Brooks Cole Publishing Company, 1999.
  • 7Berthold K P H.Robort vision[M].[S.l.]:MIT Press, 1987.
  • 8Emmanuel P,Oliver F.Shape from shading:handbook of mathematical models in computer vision[M].[S.l.]:Springer,2006.
  • 9Craine L,Craine E R,O'Toole C J,et al.Digital imaging colposcopy:corrected area measurement using Shape-from-Shading[J]. IEEE Transactions on Medical Imaging, 1998,17(6): 1003-1010.
  • 10Tankus A,Sochen N,Yeshurum Y.Reconstruction of medical images by perspective Shape-from-Shading[C]//ICPR 2004,2004,3: 778-781.

共引文献4

同被引文献12

引证文献1

二级引证文献3

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