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Review Article

Image Registration Techniques Based on the Scale Invariant Feature Transform

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REFERENCES

  • L. G. Brown, “A survey of image registration techniques,” ACM Comput. Surv., Vol. 24, no. 4, pp. 325–76, Dec. 1992.
  • K. Divya Lakshmi, and V. Vaithiyanathan, “Study of image registeration algorithms for the navigation of unmanned aerial vehicles,” Indian J. Sci. Technol., Vol. 8, no. 22, Sep. 2015.
  • H. Morevac, “Obstacle avoidance and navigation in the real world by a seeing robot rover,” Carnegie-Mellon University, Robotics Institute, Tech Report CMU-RI-TR-3, 1980.
  • C. Harris, and M. Stephens, “A combined corner and edge detector,” in Proceedings of the Alvey Vision Conference, Manchester, 1988, pp. 147–51.
  • S. M. Smith, and J. M. Brady, “SUSAN—A new approach to low level image processing,” Int. J. Comput. Vision, Vol. 23, no. 1, pp. 45–78, May 1997.
  • T. Lindeberg, “Scale-space theory in computer vision,” Lecture Notes Comput. Sci., Vol. 1252, pp. 863–6, 1994.
  • T. Lindeberg, and J. Gårding, “Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure,” Image Vis. Comput., Vol. 15, no. 6, pp. 415–34, Jun. 1997.
  • D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis., Vol. 60, no. 2, pp. 91–110, Nov. 2004.
  • K. A. Peter, “Binary SIFT: Fast Image Retrieval using Binary Quantized SIFT Features,” in Proceedings of the 9th International Workshop on Content Based Multimedia Indexing, Madrid, 2011, pp. 217–22.
  • H. Bay, T. Tuytelaars, L. V. Gool, “SURF: Speeded up robust features,” Comput. Vis. Image Underst., Vol. 110, no. 3, pp. 91–110, Jun. 2008.
  • L.-C. Chiu, T.-S. Chang, J.-Y. Chen, N. Y.-C. Chang, “Fast SIFT design for real-time visual feature extraction,” IEEE Trans. Image Process., Vol. 22, no. 8, pp. 3158–67, Aug. 2013.
  • E. N. Mortensen, H. Deng, L. Shapiro, “A SIFT descriptor with global context,” in Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, Vol. 1, 2005, pp. 184–90.
  • J.-M. Morel, and G. Yu, “ASIFT: A new framework for fully affine invariant image comparison,” SIAM J. Imaging Sci., Vol. 2, no. 2, pp. 438–69, Apr. 2009.
  • G. R. Cai, P. M. Jodoin, S. Z. Li, Y. D. Wu, S. Z. Su, and Z. K. Huang, “Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration,” Signal Process., Vol. 93, no. 11, pp. 3088–110, Nov. 2013.
  • B. Kupfer, N. S. Netanyahu, and I. S. Member, “An efficient, SIFT-based mode-seeking algorithm for sub-pixel registration of remotely sensed images,” IEEE Geosci. Remote Sens. Lett., Vol. 12, no. 2, pp. 379–83, Jan. 2015.
  • S. Yahyanejad, and B. Rinner, “A fast and mobile system for registration of low-altitude visual and thermal aerial images using multiple small-scale UAVs,” ISPRS J Photogramm Remote Sens, Vol. 104, pp. 189–202, Jun. 2015.
  • Y. Sun, L. Zhao, S. Huang, L. Yan, and G. Dissanayake, “L2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry,”, ISPRS J. Photogramm. Remote Sens., Vol. 91, pp. 1–16, May 2014.
  • X. Guo, X. Cao, J. Zhang, and X. Li, “MIFT: A mirror reflection invariant feature descriptor,” in Proceedings of the 9th Asian conference on Computer Vision, Xi'an, 2009, pp. 536–45.
  • P. Scovanner, S. Ali, and M. Shah, “A 3-dimensional SIFT descriptor and its application to action recognition,” in Proceedings of the 15th International Conference on Multimedia MM'07, Augsberg, 2007, pp. 357–60.
  • FlittonG., BreckonT., and MegherbiN. Bouallagu, “Object Recognition using 3D SIFT in complex CT volumes,” in Proceedings of the British Machine Vision Conference, Aberystwyth, 2010, pp. 11.1–12.
  • K. Sharma, I. Moon and S. G. Kim, “Extraction of visual landmarks using improved feature matching technique for stereo vision applications,” IETE Tech. Rev., Vol. 29, no. 6, pp. 473–81, Nov. 2012.
  • M. May, M. J. Turner, and T. Morris, “Scale invariant feature transform: A graphical parameter analysis,” in Proceedings of the BMVC 2010 UK Postgraduate Workshop, Aberystwyth, 2010, pp. 5.1–5.11.
  • Y. Li, W. Liu, X. Li, Q. Huang, and X. Li, “GA-SIFT: A new scale invariant feature transform for multispectral image using geometric algebra,” Inf. Sci., Vol. 281, pp. 559–72, Oct. 2014.
  • M. S. Islam, and U. Chong, “Improvement in moving target detection based on Hough transform and wavelet,” IETE Tech. Rev, Vol. 32, no. 1, pp. 46–51, Jan. 2015.
  • A. Norouzi, M. S. M. Rahim, A. Altameem, T. Saba, A. E. Rad, A. Rehman, and M. Uddin, “Medical image segmentation methods, algorithms, and applications,” IETE Tech. Rev., Vol. 31, no. 3, pp. 199–213, Jun. 2014.
  • R. J. Alitappeha, K. J. Saravib, and F. Mahmoudic, “A new illumination invariant feature based on SIFT descriptor in color space,” Procedia Eng., Vol. 41, pp. 305–11, Dec. 2012.
  • S.-h. Zhong, Y. Li, and Q.-c. Chen, “Visual orientation inhomogeneity based scale-invariant feature transform,” Expert Syst. Appl., Vol. 42, no. 13, pp. 5658–67, Aug. 2015.
  • Y. Ke, and R. Sukthankar, “PCA-SIFT: A more distinctive representation for local image descriptors,” in Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, Vol. 2, 2004, pp. 506–13.
  • G. Zhao, L. C. G. Chen, and J. Yuan, “KPB-SIFT: a compact local feature descriptor,” in Proceedings of the International Conference on Multimedia MM'10, Florence, 2010, pp. 1175–78.
  • Y.-T. Tsai, Q. Wang, and S. You, “CDIKP: A Highly-Compact Local Feature Descriptor,” in Proceedings of the 19th International Conference on Pattern Recognition, Tampa, FL, 2008, pp. 1–4.
  • D. Su, J. Wu, Z. Cui, V. S. Sheng, and S. Gong, “CGCI-SIFT: A more efficient and compact representation of local descriptor,” Meas. Sci. Rev., Vol. 13, no. 3, pp. 132–41, Jun. 2013.
  • X. Liu, Z. Tian, C. Chai, and H. Fu, “Multiscale registration of remote sensing image using robust SIFT features in steerable-domain,” Egypt. J. Remote Sens. Space Sci., Vol. 14, no. 2, pp. 63–72, Dec. 2011.
  • A. E. Abdel-Hakim, and A. A. Farag, “CSIFT: A SIFT descriptor with color invariant characteristics,” in Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, New York, 2006, pp. 1978–83.
  • O. Pele, and M. Werman, “A linear time histogram metric for improved SIFT matching,” Comput Vis. – ECCV 2008, Vol. 5304, pp. 495–508, Oct. 2008.
  • Y. Zhu, S. Cheng, V. Stankovic, and L. Stankovic, “Image registration using BP-SIFT,” J Vis. Commun. Image Represent., Vol. 24, no. 4, pp. 448–57, May 2013.
  • J. Wu, Z. Cui, and V.S. Sheng, “A comparative study of SIFT and its variants,” Meas. Sci. Rev., Vol. 13, no. 3, pp. 122–31, Jun. 2013.

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