Computer Science ›› 2016, Vol. 43 ›› Issue (9): 289-294.doi: 10.11896/j.issn.1002-137X.2016.09.058

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Unsupervised Feature Learning Based Interest Point Detection Algorithm

ZHOU Lai-en and WANG Xiao-dan   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Interest point is of great importance in digital image processing as a kind of critical feature at low level.So the interest point detection is the committed step in image registration,image retrieval and image recognition.In this paper,an unsupervised feature learning based interest point detection (UFL-ID) was presented based on the fact that interest points have stronger feature convolution response than others.The new UFL-based interest point detection algorithm firstly learns low level features in digital images,evaluates the information content and isotropy of learned features,and finally uses features and its evaluation to find interest points.The comparison result demonstrates that using UFL produces great improvements of repeatability and anti-noise property.

Key words: Machine learning,Unsupervised feature learning,Auto-encoder,Interest point detection,Feature detection

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