A Weighted Fourier and Wavelet-Like Shape Descriptor Based on IDSC for Object Recognition
SYMMETRY-BASEL(2019)
摘要
This article presents an effective shape descriptor with a property of fast matching. This descriptor, called IDSC-wFW (a weighted Fourier and wavelet-like descriptor based on inner distance shape context), first rewrites shape histograms of IDSC descriptors, changing the histogram belonging to a point to the histogram belonging to a field, and sets the histogram of a field as a one-dimensional signal, then transforms this one-dimensional signal by using a Fourier transform and a transform similar to Haar wavelet. Finally, the two transform results are linearly combined to form a new descriptor. This new descriptor requires only a distance-based measure method during the matching stage. Experimental results on three well-known databases show that this new descriptor not only obtains accurate retrieval results but also runs fast.
更多查看译文
关键词
shape descriptor,object recognition,shape retrieval
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络