CFP last date
22 April 2024
Reseach Article

A  Self Adaptability based Stereo Correspondence of Face Images using Wavelets

Published on August 2012 by Prabhakar C.j, Jyothi.k
National Conference on Advanced Computing and Communications 2012
Foundation of Computer Science USA
NCACC - Number 1
August 2012
Authors: Prabhakar C.j, Jyothi.k
29a65780-7083-4794-90bb-4910ef5f1ebc

Prabhakar C.j, Jyothi.k . A  Self Adaptability based Stereo Correspondence of Face Images using Wavelets. National Conference on Advanced Computing and Communications 2012. NCACC, 1 (August 2012), 17-20.

@article{
author = { Prabhakar C.j, Jyothi.k },
title = { A  Self Adaptability based Stereo Correspondence of Face Images using Wavelets },
journal = { National Conference on Advanced Computing and Communications 2012 },
issue_date = { August 2012 },
volume = { NCACC },
number = { 1 },
month = { August },
year = { 2012 },
issn = 0975-8887,
pages = { 17-20 },
numpages = 4,
url = { /proceedings/ncacc/number1/7991-1007/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advanced Computing and Communications 2012
%A Prabhakar C.j
%A Jyothi.k
%T A  Self Adaptability based Stereo Correspondence of Face Images using Wavelets
%J National Conference on Advanced Computing and Communications 2012
%@ 0975-8887
%V NCACC
%N 1
%P 17-20
%D 2012
%I International Journal of Computer Applications
Abstract

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. Results show that the proposed technique produces smoother disparity maps with less computation cost.

References
  1. G. Vander Val, M. Hansen, M. Piacentino, "The ACADIA Vision processor", Proceedings of 5th International Workshop on Computer Architecture for Machine Perception, Padova, Italy, pp. 31–40,2001.
  2. L. Di Stefano, S. Mattoccia, "Fast Stereo Matching for the VIDET System using a General Purpose Processor with Multimedia Extensions", Proceedings of 5th International Workshop on Computer Architecture for Machine Perception, Padova, Italy, pp. 356–362,2000.
  3. L. Di Stefano, M. Marchionni, S. Mattoccia, and G. Neri ,"A Fast Area-Based Stereo Matching Algorithm", Image and Vision Computing, vol. 22, pp. 983-1005,2004.
  4. K. Muhlmann, D. Maier, R. Hesser, and R. Manner, "Calculating dense disparity maps from color stereo images, an efficient implementation," Proc. IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp. 30-36, 2001.
  5. L. Di Stefano, M. Marchionni, S. Mattoccia, and G. Neri, "A Fast Area-Based Stereo MatchingAlgorithm," Image and Vision Computing, vol. 22, pp. 983-1005, March 2004.
  6. K. J. Yoon and I. S. Kweon, " Adaptive support-weight approach for correspondence search," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, pp. 650-656, April 2006.
  7. H. Kim, S. Yang, and K. Sohn, "3D reconstruction of stereo images for interaction between real and virtual worlds," Proc. IEEE International Conference on Mixed and Augmented Reality, October 2003.
  8. A. S. Ogale and Y. Aloimonos, "Robust Contrast Invariant Stereo Correspondence," Proc. IEEE International Conference on Robotics and Automation, ICRA 2005, pp. 819-824, April 2005.
  9. S. Mallat, "A Wavelet Tour of Signal Processing", Academic Press, 1999.
  10. I. Sarkar and M. Bansal, "A wavelet-based multiresolution approch to solve the stereo correspondence problem using mutual information", IEEE Transaction on System, Man, and Cybernetics, vol. 37, pp. 1009-1014, August 2007.
  11. P Begheri and C. V Sedan "Stereo correspondence matching using multiwavelets" , Fifth International conference on Digital Telecommunication, 2010.
  12. A. Bhatti, S. nahavandi, M. Hossny, "Wavelets/ Multiwavelets bases and correspondence estimation problem; An analytic study", 11th International Conference on control, automation, robotics and vision, Dec 2010.
  13. A. Klaus, M Sormann and Konrad Karner "Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure ", 2006.
  14. http:// cvlab. epfl. ch/data/strecham VS/ , 2010.
  15. http://vision. middlebury. edu/stereo/, January 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Stereo Matching Discrete Wavelet Transform Disparity