Exact order based feature descriptor for illumination robust image matching

Bongjoe Kim; Hunjae Yoo; Kwanghoon Sohn

doi:10.1016/j.patcog.2013.04.015

Exact order based feature descriptor for illumination robust image matching

Bongjoe Kim, Hunjae Yoo, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	3268-3278
Number of pages	11
Journal	Pattern Recognition
Volume	46
Issue number	12
DOIs	https://doi.org/10.1016/j.patcog.2013.04.015
Publication status	Published - 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

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10.1016/j.patcog.2013.04.015

Cite this

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abstract = "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.",

author = "Bongjoe Kim and Hunjae Yoo and Kwanghoon Sohn",

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doi = "10.1016/j.patcog.2013.04.015",

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AU - Yoo, Hunjae

AU - Sohn, Kwanghoon

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N2 - 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.

AB - 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.

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Exact order based feature descriptor for illumination robust image matching

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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