A Novel Approach for Object Extraction Based On Linear Discriminant Analysis

Authors(2) :-G. Sukanya, S. Swarnalatha

Multi view object Extraction plays a major role in tracking and many other applications. Recently different methods are used to extract the object along with boundaries in multi directions. Principal component analysis method is used to extract the object. This method fails due to the high dimensionality and high complexity. So, to overcome the above drawbacks proposed a method called linear discriminant analysis. In this method first extracting the features of the image and converting into the H,S and V planes. k-means segmentation performed to segment the foreground object and extract the boundaries of the object. Experimental results prove to be better and yields better performance when compared to the other state of art methods.

Authors and Affiliations

G. Sukanya
M.Tech Student, Department of ECE, Svuce, Tirupati, Andhra Pradesh, India
S. Swarnalatha
Associate Professor, Department of ECE, Svuce, Tirupati, Andhra Pradesh, India

Object Extraction, PCA, LDA, k-means segmentation

  1. A. Laurentini. The visual hull concept for sihouette-based image understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 16(2):150-162, 1994
  2. K. Kutulakos and S.M. Seitz. A theory of shape by space carving. International Journal on Computer Vision (IJCV), 38(3):199-218, 2000
  3. G. Vogiatzis, P.H.S. Torr and R. Cipolla. Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 29(12):2241- 2246, 2007
  4. A. Kowdle, Y.-J. Chang, A. Gallagher, D. Batra and T. Chen. Putting the user in the loop for image-based modeling. International Journal on Computer Vision (IJCV), 108(1):30-48, 2014
  5. J. Park and S.N. Sinha and Y. Matsushita and Y-.W. Tai and I.S. Kweon Multiview photometric stereo using planar mesh parameterization. Proceedings of International Conference on Computer Vision (ICCV), 2013
  6. S.-H. Kim, Y.-W. Tai, Y. Bok, H. Kim and I.-S. Kweon. Two phase approach for multi-view object extraction. Proceedings of International Conference on Image Processing (ICIP), 2011
  7. W. Lee, W. Woo and E. Boyer. Silhouette segmentation in multiple views. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 33(7):1429-1441, 2011
  8. A. Kowdle, S.N. Sinha and R. Szeliski. Multiple view object cosegmentation using appearance and stereo cues. Proceedings of European Conference on Computer Vision (ECCV), 2012
  9. A. Djelouah and J.-S. Franco and E. Boyer and F.L. Clerc and P. Perez. N-tuple color segmentation for multi-view silhouette extraction. Proceedings of European Conference on Computer Vision (ECCV), 2012
  10. A. Djelouah and J.-S. Franco and E. Boyer and F.L. Clerc and P. Perez. Multi-view object segmentation in space and time. Proceedings of International Conference on Computer Vision (ICCV), 2013
  11. J.-Y. Guillemaut and A. Hilton. Joint multi-layer segmentation and reconstruction for free-viewpoint video applications. International Journal on Computer Vision (IJCV), 93(1):73-100, 2011
  12. A. Levin and D. Lischinski and Y. Weiss. A closed form solution to natural image matting. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 30(2):228-242, 2008

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 522-530
Manuscript Number : CSEIT1833427
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

G. Sukanya, S. Swarnalatha, "A Novel Approach for Object Extraction Based On Linear Discriminant Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.522-530, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833427

Article Preview