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A  Self Adaptability based Stereo Correspondence of Face Images using Wavelets

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IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012
© 2012 by IJCA Journal
NCACC - Number 1
Year of Publication: 2012
Authors:
Prabhakar C. J
Jyothi. K

Prabhakar C.j and Jyothi.k. Article: A Self Adaptability based Stereo Correspondence of Face Images using Wavelets. IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012 NCACC(1):17-20, August 2012. Full text available. BibTeX

@article{key:article,
	author = {Prabhakar C.j and Jyothi.k},
	title = {Article: A Self Adaptability based Stereo Correspondence of Face Images using Wavelets},
	journal = {IJCA Proceedings on National Conferecne on Advanced Computing and Communications 2012},
	year = {2012},
	volume = {NCACC},
	number = {1},
	pages = {17-20},
	month = {August},
	note = {Full text available}
}

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.

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