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Reseach Article

Survey: Image Mosaicing based on Feature Extraction

by M. D. Kokate, V. A. Wankhede, Rohit S. Patil
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 165 - Number 1
Year of Publication: 2017
Authors: M. D. Kokate, V. A. Wankhede, Rohit S. Patil
10.5120/ijca2017913776

M. D. Kokate, V. A. Wankhede, Rohit S. Patil . Survey: Image Mosaicing based on Feature Extraction. International Journal of Computer Applications. 165, 1 ( May 2017), 26-30. DOI=10.5120/ijca2017913776

@article{ 10.5120/ijca2017913776,
author = { M. D. Kokate, V. A. Wankhede, Rohit S. Patil },
title = { Survey: Image Mosaicing based on Feature Extraction },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 165 },
number = { 1 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume165/number1/27539-2017913776/ },
doi = { 10.5120/ijca2017913776 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:11:13.997954+05:30
%A M. D. Kokate
%A V. A. Wankhede
%A Rohit S. Patil
%T Survey: Image Mosaicing based on Feature Extraction
%J International Journal of Computer Applications
%@ 0975-8887
%V 165
%N 1
%P 26-30
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Mosaicing is as an consider in and personal digital assistant graphics. Image stitching is by the whole of two or images of the close study which is called panoramic image. Image stitching techniques are categorized two approaches: Direct and feature based techniques. Direct techniques link the pixel intensities of the images by all of each whereas based techniques to a mid the images all manner of features extracted from the images. The be has the of preferably at variance with scene life, faster, and has the to automatically the overlapping relationships an unordered of images. The about is to a scan the based stitching. The components of stitching will be described. A of a stitching based on based approaches will be introduced. Finally, the challenges of brain wave stitching will be discussed.

References
  1. Ward, G. (2006). Hiding seams in high dynamic range panoramas. In R. W. Fleming, & S. Kim (Ed.), APGV. 153, p. 150. ACM.
  2. Lowe, D. G. (2004). Distinctive Image Features from Scale-Invariant Key points. International Journal of Computer Vision, 60, 91-110.
  3. Szeliski, R. (2010). Computer Vision: Algorithms and Applications (1st Ed.). New York, NY, USA: Springer-Verlag New York, Inc.
  4. Vimal Singh Bind, P. R. (2013). A Robust Technique for Feature-based Image Mosaicing using Image Fusion.
  5. Brown, M., & Lowe, D. G. (2003). Recognizing Panoramas. Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2, pp. 1218-. Washington, DC, USA: IEEE Computer Society.
  6. Eden, A., Uyttendaele, M., & Szeliski, R. (2006). Seamless Image Stitching of Scenes with Large Motions and Exposure Differences.
  7. Oyallon, E. (February 25, 2013). An analysis and implementation of the SURF method, and its comparison to SIFT.
  8. K.Shashank, N. G. (MarCh 2014). A Survey and Review over Image Alignment and Stitching Methods. The International Journal of Electronics & Communication Technology (IJECT), ISSN: 2230-7109 (Online).
  9. Zhang, Z. (2000, Nov). A Flexible New Technique for Camera Calibration. IEEE Trans. Pattern Anal. Mach. Intell, 22(11), 1330-1334.
  10. Deng, Y., & Zhang, T. (September 07, 2003). Generating Panorama Photos.
  11. Szeliski, R. (December 10, 2006). Image Alignment and Stitching. Tech. rep.
  12. Bergen, J. R., Anandan, P., Hanna, K. J., & Hingorani, R. (1992). Hierarchical Model-Based Motion Estimation.
  13. Yanfang Li, Y. W. (2008). Automatic Image Stitching Using SIFT.
  14. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008, Jun). Speeded-Up Robust Features (SURF). Russol Abdelfatah, H. O. (2013). Automatic Seamless of Image Stitching. International knowledge shating platform, 4, ISSN (Paper) 2222-1727.
  15. Ke, Y., & Sukthankar, R. (2004). PCA-SIFT: A more distinctive representation for local image descriptors.
  16. Dalal, N., & Triggs, B. (2005). Histograms of Oriented Gradients for Human Detection.
  17. Jiaxi Wang and Junzo Watada, Member, IEEE,
  18. D. Marr and E. Hildreth, ―Theory of Edge Detection,‖ Proc. of Royal Soc. London B, vol.
  19. Mrs. Hetal M. Patel, A. P. (November- 2012). Comprehensive Study and Review of Image Mosaicing Methods.
Index Terms

Computer Science
Information Sciences

Keywords

Image Mosaicing/stitching features based detection SIFT SURF image blending panoramic image