Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30578
SURF Based Image Matching from Different Angle of Viewpoints using Rectification and Simplified Orientation Correction

Authors: K.M.Goh, M.M.Mokji, S.A.R. Abu-Bakar

Abstract:

Speeded-Up Robust Feature (SURF) is commonly used for feature matching in stereovision because of their robustness towards scale changes and rotational changes. However, SURF feature cannot cope with large viewpoint changes or skew distortion. This paper introduces a method which can help to improve the wide baseline-s matching performance in term of accuracy by rectifying the image using two vanishing points. Simplified orientation correction was used to remove the false matching..

Keywords: Orientation, SURF, Affine, projective

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079604

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1932

References:


[1] D. G. Lowe, "Distinctive image features from scale-invariant key points," International Journal of Computer Vision, pp.91-110, 2004, vol.60.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-73.
[2] H. Bay, T. Tuyteplaars, and L. V. Gool. " SURF: speeded up robust features." European Conference on Computer Version, 1:404-417, 2006.
[3] F.Zhao, Q.M. Huang, and W. Gao, "Image matching by normalized cross-correlation," Acoustics, Speech and Signal Processing, 2006.
[3] K.M.Goh, M.M.Mokji, S.A.R.Abu-Bakar, "Improved Rotational Matching of SIFT and SURF." Fourth International Conference on Digital Image Processing (ICDIP 2012), SPIE.
[4] Wang, Y., & Feng, J. (n.d.). Viewpoint Invariant Descriptor for RGB-D Images. Unpublished
[5] K. Mikolajczyk and C. Schmid. "Performance evaluation of local descriptors." IEEE transactions on pattern analysis and machine intelligence, 27(10):1615{30, Oct. 2005.
[6] K. Mikolajczyk and C. Schmid. "Performance evaluation of local descriptors." IEEE transactions on pattern analysis and machine intelligence, 27(10):1615{30, Oct. 2005.
[7] Juan, L., and Gwun, O. "A Comparison of SIFT , PCA-SIFT and SURF." International Journal of Image Processing IJIP 3, 143-152. 2009
[8] Clark, A.J.; Green, R.D.; Grant, R.N.; , "Perspective correction for improved visual registration using natural features.," Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference , vol., no., pp.1-6, 26-28 Nov. 2008.
[9] Feng Guo; , "Plane Rectification Using a Circle and Points from a Single View," 18th International Conference on Pattern Recognition, 2006. ICPR 2006., vol.2.
[10] Lingfeng Xu; Au, O.C.; Wenxiu Sun; Yujun Li; Sung Him Chui; Chun Wing Kwok; , "Image rectification for single camera stereo system," Image Processing (ICIP), 2011 18th IEEE International Conference on , vol., no., pp.977-980, 11-14 Sept. 2011.
[11] Zhengyou Zhang , Li-Wei He, "Whiteboard scanning and image enhancement"http://research.microsoft.com/enus/um/people/zhang/paper s/tr03-39.pdf p.11
[12] Uncalibrated Stereo Rectification for Automatic 3D Surveillance". Ser- Nam Lim, Anurag Mittal and Larry S. Davis. IEEE ICIP 2004, Oct 24- 27, Singapore
[13] Liebowitz, D. and Zisserman, A. "Metric Rectification for Perspective Images of Planes"
[14] G. Fangi, G. Gagliardini, E.S. Malinverni, Photointerpretation and small scale stereoplotting with digitally rectified photographs with geometrical constraints, in: Proceedings of the CIPA Congress 2001, September 18- 21, 2001.
[15] Zilly, F. and Mueller, M. and Eisert, P. and Kauff, P."Joint Estimation of Epipolar Geometry and Rectification Parameters using Point Correspondences for Stereoscopic TV Sequences," 3DPVT, Paris, France, May 2010.