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An Effective Face Color Comparison Method

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The 10th International Conference on Computer Engineering and Networks (CENet 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1274))

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Abstract

With the development of image processing technology and application, the recognition requirements for facial details are getting higher and higher. This paper presents a face color comparison method, which can compare the facial color difference quickly. At the same time, through experiments, this paper determined the formula of color difference used by the method and obtained the good accuracy of the method in accordance with human vision, which shows that the method has certain practicability in facial color comparison.

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References

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Acknowledgement

This work is supported in part by the National Natural Science Foundation of China (No. 61472092) and Guangdong College Student Innovation Project (No. S201911078074).

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Authors and Affiliations

  1. School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, 510006, China

    Yuanyong Feng, Zhidong **e, Fufang Li & Weihao Lu

  2. School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou, 510006, China

    **rong Zhang & Weihao Lu

Authors
  1. Yuanyong Feng
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  2. **rong Zhang
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  3. Zhidong **e
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  4. Fufang Li
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  5. Weihao Lu
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Corresponding author

Correspondence to Fufang Li .

Editor information

Editors and Affiliations

  1. Science and Technology, Nan**g University of Information, Nan**g, Jiangsu, China

    Qi Liu

  2. School of Computing, Edinburgh Napier University, Edinburgh, UK

    **aodong Liu

  3. School of Electrical Engineering, University of **an, **an, Shandong, China

    Tao Shen

  4. Institute of Network Technology, Bei**g University of Posts and Telecommunications, Bei**g, Bei**g, China

    Xuesong Qiu

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Feng, Y., Zhang, J., **e, Z., Li, F., Lu, W. (2021). An Effective Face Color Comparison Method. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_12

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  • DOI: https://doi.org/10.1007/978-981-15-8462-6_12

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8461-9

  • Online ISBN: 978-981-15-8462-6

  • eBook Packages: EngineeringEngineering (R0)

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