Exact order based feature descriptor for illumination robust image matching

Bongjoe Kim, Hunjae Yoo, Kwanghoon Sohn

Research output: Contribution to journalArticlepeer-review

20 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

Bibliographical note

Funding Information:
This research was supported by a grant from the R&D Program (Industrial Strategic Technology Development) funded by the Ministry of Knowledge Economy (MKE), Republic of Korea. Also, The authors are deeply thankful to all interested persons of MKE and Korea Evaluation Institute of Industrial Technology (10040018, Development of 3D Montage Creation and Age-specific Facial Prediction System).

All Science Journal Classification (ASJC) codes

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


Dive into the research topics of 'Exact order based feature descriptor for illumination robust image matching'. Together they form a unique fingerprint.

Cite this