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Wide-baseline stereo matching based on multiple views

本站小编 哈尔滨工业大学/2019-10-23

Wide-baseline stereo matching based on multiple views

LIU Ya-hui, JIA Qing-xuan, SUN Han-xu, SONG Jing-zhou

School of Automation,Beijing University of Posts and Telecommunications,Beijing 100876,China



Abstract:

To solve the problem of wide-baseline stereo image matching based on multiple cameras,the paper puts forward an image matching method of combining maximally stable extremal regions (MSER) with Scale Invariant Feature Transform (SIFT) . It uses MSER to detect feature regions instead of difference of Gaussian. After fitted into elliptical regions,those regions will be normalized into unity circles and represented with SIFT descriptors. The method estimates fundamental matrix and removes outliers by auto-maximum a posteriori sample consensus after initial matching feature points. The experimental results indicate that the method is robust to viewpoint changes,can reduce computational complexity effectively and improve matching accuracy.

Key words:  image matching  scale invariant feature transform  maximally stable extremal region  wide-baseline

DOI:10.11916/j.issn.1005-9113.2010.02.015

Clc Number:TP391.41

Fund:


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