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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Bibliographic Details
Published in2008 International Conference on Control, Automation and Systems pp. 2148 - 2151
Main Authors Ji-hye Jeon, Yoon-gi Yang, Joon-ki Paik, Chang-su Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2008
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
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Summary: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.
ISBN:8995003898
9788995003893
DOI:10.1109/ICCAS.2008.4694452