Exact order based feature descriptor for illumination robust image matching

Bongjoe Kim, Hunjae Yoo, Kwanghoon Sohn

Research output: Contribution to journalArticle

17 Citations (Scopus)


We present a novel method for a feature descriptor called an exact order based descriptor (EOD). The proposed method consists of three steps. First, to resolve ordering ambiguity for pixels of the same intensity, an exact order image is created by changing the discrete intensity into a k-dimensional continuous value. Second, exact order based features are generated globally and locally. Finally, the EOD is constructed by combining the global and local exact order features using the discrete cosine transform. Experimental results show that the proposed method outperforms other state-of-the-art descriptors over a number of images.

Original languageEnglish
Pages (from-to)3268-3278
Number of pages11
JournalPattern Recognition
Issue number12
Publication statusPublished - 2013 Dec 1

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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