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《Infrared and Laser Engineering》 2012-09
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Fast planar shape recognition using cascaded affine invariant function

Shi Siqi1,Shi Guangming1,Chen Xuyang1,2,Qi Fei1(1.Key Lab of Intelligent Perception and Image Understanding of Ministry of Education,Xidian University,Xi′an 710071,China;2.Academy of Space Electronic Information Technology,Xi′an 710000,China)  
Existing shape recognition methods based on wavelet transform are of high computational cost,so they are not suitable for some real-time applications.A cascaded affine invariant function(CAIF)-based fast recognition algorithm was proposed to recognize the noisy shape under affine transform.The CAIF was constructed by combining a set of affine invariant functions,which were derived by the wavelet coefficients of the shape contour.To ensure the shift invariance of CAIF,the starting point of shape contour was pre-aligned effectively.In this way,the shape similarity could be measured conveniently by the inner product of CAIFs.The proposed algorithm was of low computational complexity and spent only one seventh of the CPU time consumed by other wavelet-based recognition algorithms.Experimental results verify the alignment accuracy and the efficiency of the proposed algorithm.
【Fund】: 国家自然科学基金(60736043 60805012 6103304)
【CateGory Index】: TP391.41
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