A study on wavelet-based edge detection for improved stereo matching

Development of stereopsis technology that gives reality is an interesting research area for a long time. Stereopsis technology expresses actuality with effect of two eyes. Correct stereo matching depends on the exact estimation of image disparity that contains depth information. Wavelet transform ca...

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Hauptverfasser:	Ji-hye Jeon, Yoon-gi Yang, Joon-ki Paik, Chang-su Lee
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automatic control edge detection Feature extraction Frequency Image edge detection Information analysis Low pass filters Multiresolution analysis Signal analysis stereo matching unsharp masking Wavelet analysis Wavelet transform Wavelet transforms
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creator	Ji-hye Jeon Yoon-gi Yang Joon-ki Paik Chang-su Lee
description	Development of stereopsis technology that gives reality is an interesting research area for a long time. Stereopsis technology expresses actuality with effect of two eyes. Correct stereo matching depends on the exact estimation of image disparity that contains depth information. Wavelet transform can be applied to analyze signals in stereo vision, but related research is insufficient. In this paper, we propose a fast and correct stereo image matching method through edge detection that uses multi-resolution wavelet transform. Also, we analyze the effect of noise during the edge detection process, and make a comparison with traditional methods.
doi_str_mv	10.1109/ICCAS.2008.4694452
format	Conference Proceeding
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subjects	Automatic control edge detection Feature extraction Frequency Image edge detection Information analysis Low pass filters Multiresolution analysis Signal analysis stereo matching unsharp masking Wavelet analysis Wavelet transform Wavelet transforms
title	A study on wavelet-based edge detection for improved stereo matching
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