OSA's Digital Library

Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Alan E. Willner
  • Vol. 37, Iss. 1 — Jan. 1, 2012
  • pp: 10–12

Robust visual correspondence computation using monogenic curvature phase based mutual information

Di Zang, Jie Li, and Dongdong Zhang  »View Author Affiliations


Optics Letters, Vol. 37, Issue 1, pp. 10-12 (2012)
http://dx.doi.org/10.1364/OL.37.000010


View Full Text Article

Enhanced HTML    Acrobat PDF (318 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Visual correspondence has been a major research topic in the fields of image registration, 3D reconstruction, and object tracking for some decades. However, due to the radiometric variations of images, conventional approaches fail to produce robust matching results. The traditional method of intensity-based mutual information performs very good for global variations between images, however, its performance degrades in the case of local radiometric variations. Monogenic curvature phase information, as an important local feature of the image, has the advantage of being robust against brightness variation. Hence, in this Letter, we propose an approach to compute the visual correspondence by coupling the advantages of mutual information and monogenic curvature phase. Experimental results demonstrate that the proposed approach can work robustly under radiometric variations.

© 2012 Optical Society of America

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(330.1400) Vision, color, and visual optics : Vision - binocular and stereopsis
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Image Processing

History
Original Manuscript: August 1, 2011
Revised Manuscript: October 30, 2011
Manuscript Accepted: October 31, 2011
Published: December 22, 2011

Virtual Issues
Vol. 7, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Di Zang, Jie Li, and Dongdong Zhang, "Robust visual correspondence computation using monogenic curvature phase based mutual information," Opt. Lett. 37, 10-12 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-1-10


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. D. B. Russakoff, C. Tomasi, T. Rohlfing, and C. Mauere, in Proc. of the 8th Euprpeanl Conference on Computer Vision (2004), pp. 596–607.
  2. J. P. W. Pluim, J. A. Maintz, and M. A. Viergever, IEEE Trans. Med. Imaging 19, 809 (2000). [CrossRef] [PubMed]
  3. D. Zang and G. Sommer, in Proc. of the International Workshop on Combinatorial Image Analysis (2006), pp. 320–332.
  4. D. Zang and G. Sommer, J. Visual Commun. Image Represent 18, 81 (2007). [CrossRef]
  5. M. Felsberg and G. Sommer, IEEE Trans. Signal Process. 49, 3136 (2001). [CrossRef]
  6. M. Felsberg and G. Sommer, J. Math. Imaging Vision 21, 5 (2004). [CrossRef]
  7. F. Brackx, B. D. Knock, and H. D. Schepper, Int. j. math. math. sci. 1 (2006). [CrossRef]
  8. H. Hirschmuller and D. Scharstein, in Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (2007), pp. 18–23.
  9. J. Kim, V. Kolmogorov, and R. Zabih, in Proc. of the International Conference on Computer Vision (2003), pp. 1033–1040.
  10. Y. Boykov, O. Veksler, and R. Zabih, IEEE Trans. Pattern Anal. Machine Intell. 23, 1222 (2001). [CrossRef]
  11. http://vision.middlebury.edu/stereo/.

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

Figures

Fig. 1 Fig. 2 Fig. 3
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited