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R. Missaoui, M. Sarifuddin, et al., “Similarity Measures for Efficient Content-based Image Retrieval,” IEEE Proceedings on Vision, Image and Signal Process, 2005, pp. 875- 887.

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• TITLE: Robust Performance of Scene Matching Algorithm

  AUTHORS: Zhaohui Xia, Xiaogang Yang, Fei Meng, Shicheng Wang

  KEYWORDS: Scene Matching; Matching Algorithm; Performance Parameters; Robustness; Performance Evaluation

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.6 No.5B, October 12, 2013

  ABSTRACT: Performance analysis is very important in the study and design of scene matching algorithm. Based on the analysis of the common performance parameters, robustness of scene matching algorithm is defined, including the definitions of robust stability and robust performance, and the corresponding evaluation parameters matching margin and matching adaptability are given. With application of these robustness parameters on 8 scene matching algorithms, quantitative analysis results of algorithm robustness are obtained. The paper provides an important theoretical reference to the performance evaluation of scene matching algorithm.