期刊文献+

一种从平面序列图像中提取深度信息的新方法 被引量:1

A NOVEL METHOD OF 2D MOTION IMAGES INTO 3D MOTION IMAGES
原文传递
导出
摘要 本文着眼于探讨从平面序列图像中提取双眼视差异的可能性,分析了线性运动平面序列图像和旋转运动平面序列图像中含有的双眼视差异深度信息,提出了一种将含有双眼视差异深度信息的平面序列图像转换为立体图像的新方法,并给出了具体算法和实验结果.实验表明,本文所给出的分析和方法都是正确的。 Aiming at delving into the possibility of extracting the stereo disparity from 2D image sequence. In this paper, the depth information contained in the linearly-moving and rotationally-moving 2D image sequences is analyzed. And then a novel method for converting 2D image squence into 3D image sequence is presented and the dedicated algorithm is provided. Experiment results show that both the analysis and the method described here are correct.
出处 《模式识别与人工智能》 EI CSCD 北大核心 2003年第4期470-475,共6页 Pattern Recognition and Artificial Intelligence
关键词 平面序列图像 图像处理 并行处理 立体图像 深度信息 Binocular Vision, Depth Information, Disparity, Image Processing
  • 相关文献

参考文献7

  • 1Weiner M L. The Development of a New 3D Photographic Proces through Utilization of a Projection Screen Method without the Use of Sterescopic Vision. Applied Optics, 1969, 6: 120- 125
  • 2Motoki T, Isono H, Yuyama I. Present Status of Three- Dimensional Television Research. Proc of the IEEE, 1995, 83(7) : 1009- 1020
  • 3Mayhew J E W, Frisby J P. 3D Model Stereocopic Cues.Cambridge, London, England: The MIT Press, 1991
  • 4Troscianko T, Montagnon R, Leclerc J, Malbert E, Chanteau.P L.The Role of Colour as a Monocular Depth Cue. Vision Research,1991, 31(11): 1923- 1930
  • 5Bela J. A New Sense for Depth of Field. IEEE Trans on Pattern Analysis and Machine Intelligence, 1987, 9(4) : 523 - 530
  • 6侯春萍.平面图像视觉立体化技术的研究.博士论文,天津大学研究生院,1998
  • 7侯春萍,俞斯乐.一种平面图像立体化的新方法[J].电子学报,2002,30(12):1861-1864. 被引量:11

二级参考文献1

  • 1侯春萍.平面图像视觉立体化技术的研究[M].天津:天津大学研究生院,1998..

共引文献10

同被引文献17

  • 1Jing X,Chau L.An effieient three-step search algorithm for block motion estimation[J].IEEE Transactions on Multimedia,2004,3:435-438.
  • 2Ahmadianpour F,Alunad M O.Anovel approach for bi-directional motion estimationan and compensation[C]∥Conf on Information Technology:Coding and Computing.Lasvegas,Nevada:IEEE,2004:653-657.
  • 3Zan J W,Ahmad M O,Swamy M.New teehniques for multiresolution motion estimation[J].Transactions on Cireuits and Systems for Video Technology,2002,12:793-802.
  • 4Jin H,Favaro P.A variational approach to shape from defocus[C]∥European Conference on Computer Vision.[s.l.]:IEEE,2002:18-30.
  • 5Jung J I,Ho Y S.Depth map estimation from single-view image using object classification based on bayesion learning[C]∥3DTV Conference:The True Vision-Capture,Transmission and Display of 3D Video(3DTV-CON).Tampere,Finland:IEEE,2011:1-4.
  • 6Kuo T Y,Lo Y C.Depth estimation from a monocular view of the outdoors[J].Consumer Electronics,IEEE Transactions on,2011,57(2):817-822.
  • 7Zhang R,Tsai P S,Cryer J E,et al.Shape-from-shading:a survey[J].PAMI,1999,21(8):690-706.
  • 8Loh A M E,Hartley R.Shape from non-homogeneous,non-stationary,anisotropic,perspective texture[C]∥British Machine Vision Conference.[s.l.]:BMVC,2005:69-78.
  • 9Zhou Y,Hu B,Zhang J.Occlusion detection and tracking method based on Bayesian decision theory[J].Advances in Image and Video Technology,2006,4319:474-482.
  • 10Saxena A,Sun M,Ng A Y.Learning 3-D scene structure from a single still image[C]∥Computer Vision,IEEE 11th International Conference on.Rio de Janeiro,Brazil:IEEE,2007:1-8.

引证文献1

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