会议专题

Radial Fourier Analysis (RFA) Image Descriptor

  This article presents a spectrum-based local image descriptor,namely,Radial Fourier Analysis(RFA)image descriptor.The RFA descriptor uses Fourier transform to convert the image gradients in the local region of a keypoint from spatial domain to frequency domain.The transformed gradient frequencies are then analysed to obtain the principle description within the local region.The principle description is represented by low frequency Fourier coefficients and they are directly used in the descriptor to represent the keypoint.Experimental results using a series of performance evaluation procedures showed that RFA descriptor demonstrates higher performances against different image variations comparing to benchmark local image descriptors.The results also indicated that the RFA descriptor is particularly reliable when used on the images,which are degraded by blurring and JPG compression.According to the performance evaluations presented in this paper,spectral analysis shows strong potential for local image description.It paves the way for future research in alternative spectrum-based techniques such as Wavelet transform to precisely analyse local image patches.

S. C. F. LIN C. Y. WONG G. JIANG M.A. Rahman N. M. KWOK

School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia

国际会议

The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

厦门

英文

825-830

2014-08-19(万方平台首次上网日期,不代表论文的发表时间)