DocumentCode :
2424449
Title :
Binocular Stereo Matching Algorithm for Wide Baseline Based on Stable Extremal Regions
Author :
Li Zhu-lin ; Zhao Zong-tao ; Zhang Hong-lei ; Ma Yan
Author_Institution :
Xi´an Res. Inst. of Hi-Tech., Xian
Volume :
3
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
528
Lastpage :
532
Abstract :
Stereo matching with regions is a master method for binocular image matching of wide baseline. It is most difficult that extracting invariant region. Stable extremal region(SER) is proposed in this paper, and its extracting algorithm. To magnify the intensity change and identify its edge easily, the exponent transform has been used. Then, the affine invariant moments of SER and the Euclid-distance between the region and another are computed using in measuring similarity. The experiment result show the extremal points locate accurately, the SER are stable, and correspondence regions are exact, it is improved to 70.9%.
Keywords :
affine transforms; computational geometry; edge detection; image matching; stereo image processing; Euclidean distance; affine invariant moment; binocular stereo image matching algorithm; edge detection; epipolar geometry; exponent transform; image intensity change; stable extremal region extraction algorithm; Abstracts; Cities and towns; Computer science; Detectors; Erbium; Image edge detection; Image matching; Image reconstruction; Image segmentation; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.205
Filename :
4406294
Link To Document :
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