NDLI: Stereo matching between images of large slope based on multi-scale directional wavelet transform

Content Provider	IEEE Xplore Digital Library
Author	Zhao Xi-an Chen Zhi-xue Zhu Guang Lv Jing-guo Jing Chang-feng
Copyright Year	2010
Description	Author affiliation: College of Geomatics, Beijing University of Civil Engineering and Architecture, 100044, China (Zhao Xi-an; Chen Zhi-xue; Zhu Guang; Lv Jing-guo; Jing Chang-feng)
Abstract	This paper presents a method based on the directional wavelet transform for feature extracting and stereo matching. The original images are transformed by the directional wavelet at two scales, in which the high frequent images in 4 directions may be produced. Using the operator of feature points at three-scales, the feature points in stereo images are extracted. The image matching is at two scales. Firstly the coarse matching was done at scale one. The approximate parallax of both images was obtained. Secondly, at scale zero the feature matching was done based on the describing vectors of 64 parameters. Then mismatched points were eliminated in the epipolar restriction. The experiments in airplane, unpiloted aircraft and close-rang stereo images show that the approach is accurate and robust for extracting keypoints and stereo matching. The matching results is rotation or scaling invariant.
Starting Page	499
Ending Page	501
File Size	977385
Page Count	3
File Format	PDF
ISBN	9781424495658
ISSN	21537003
e-ISBN	9781424495665
e-ISBN	9781424495641
DOI	10.1109/IGARSS.2010.5650267
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Wavelet transforms Aircraft Robustness Histograms Lighting rotation and scaling invariant Stereo matching multi-scale
Content Type	Text
Resource Type	Article

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