Lu Wu, Quan Liu, Ping Lou
Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 249-257, 2019, DOI:10.31209/2018.100000010
Abstract The scheme of spatial pyramid matching (SPM) causes feature ambiguity near
dividing lines because it divides an image into different scales in a fixed manner.
A new method called soft SPM (sSPM) is proposed in this paper to reduce
feature ambiguity. First, an auxiliary area rotating around a dividing line in four
orientations is used to correlate the feature relativity. Second, sSPM is
performed to combine these four orientations to describe the image. Finally, an
optimized multiple kernel learning (MKL) algorithm with three basic kernels for
the support vector machine is applied. Specifically, for each More >
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