DocumentCode :
1090148
Title :
Robust Affine Invariant Feature Extraction for Image Matching
Author :
Cheng, Liang ; Gong, Jianya ; Yang, Xiaoxia ; Fan, Chong ; Han, Peng
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying Mapping & Remote Sensing, Wuhan Univ., Wuhan
Volume :
5
Issue :
2
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
246
Lastpage :
250
Abstract :
A new approach is presented to extract more robust affine invariant features for image matching. The novelty of our approach is a hierarchical filtering strategy for affine invariant feature detection, which is based on information entropy and spatial dispersion quality constraints. The concept of spatial dispersion quality is introduced to quantify the spatial distribution of features. Moreover, an integrated algorithm combined by the filtering strategy, maximally stable extremal region (MSER) and scale invariant feature transform, is introduced for affine invariant feature extraction. Since Mikolajczyk et al. identified that MSER is the best detector in many cases, we design an experiment to compare our approach (ED-MSER) with the standard MSER. By using two stereo pairs and an image sequence with different types of imagery, the experiment indicates that ED-MSER can always get much higher repeatability and matching score compared to the standard MSER and other algorithms, thus benefiting the subsequent image matching and many other applications.
Keywords :
entropy; feature extraction; filtering theory; geophysical signal processing; image matching; image sequences; affine invariant feature extraction; feature spatial distribution; hierarchical filtering strategy; image matching; image sequence; information entropy; invariant feature detection; maximally stable extremal region; spatial dispersion quality constraint; Affine invariant; feature extraction; image matching; information entropy; spatial dispersion quality;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2008.915599
Filename :
4460896
Link To Document :
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