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Facial Expression Recognition Using Local Composition Pattern

Authors:

Md. Enamul Haque,

Mohammad Jashem,

Mahamudul Hasan,

Muhammad Ibrahim,

Taskeed JabidAuthors Info & Claims

ICCCM '19: Proceedings of the 7th International Conference on Computer and Communications Management

Pages 63 - 67

https://doi.org/10.1145/3348445.3351307

Published: 27 July 2019 Publication History

Abstract

One or more motions or positions of the muscles under the skin of the face is a facial expression. Here, a new image feature descriptor is proposed which is more efficient than Local Binary Pattern (LBP) and Local Derivative Pattern (LDP). In the state of the artwork by thresholding the neighboring pixel values with the central pixel is leveled in each pixel of an image. In our proposed method, edge response is used to detect edges in a radial direction. The directional derivative is computed in the horizontal and vertical direction which is used to extract more discriminatory features. Using neighboring pixels, a new smart threshold is determined. Experimental results show that our method gives a better recognition rate than the existing method. The result proves that it is better than the state of the art descriptors.

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Cited By

Elhamdadi HCanavan SRosen P(2022)AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective ComputingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311478428:1(769-779)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3114784
Shang JChen Y(2022)3D-FERNet: A Facial Expression Recognition Network utilizing 3D information2022 26th International Conference on Pattern Recognition (ICPR)10.1109/ICPR56361.2022.9956497(3265-3272)Online publication date: 21-Aug-2022
https://doi.org/10.1109/ICPR56361.2022.9956497
AKGÜN D(2021)A TENSORFLOW BASED METHOD FOR LOCAL DERIVATIVE PATTERNMugla Journal of Science and Technology10.22531/muglajsci.8306917:1(59-64)Online publication date: 29-Jun-2021
https://doi.org/10.22531/muglajsci.830691

Index Terms

Facial Expression Recognition Using Local Composition Pattern
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing
  2. Machine learning
    1. Machine learning algorithms
      1. Feature selection

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cover image ACM Other conferences

ICCCM '19: Proceedings of the 7th International Conference on Computer and Communications Management

July 2019

260 pages

ISBN:9781450371957

DOI:10.1145/3348445

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Chongqing University of Posts and Telecommunications

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 July 2019

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ICCCM 2019

ICCCM 2019: The 7th International Conference on Computer and Communications Management

July 27 - 29, 2019

Bangkok, Thailand

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Cited By

Elhamdadi HCanavan SRosen P(2022)AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective ComputingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311478428:1(769-779)Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1109/TVCG.2021.3114784
Shang JChen Y(2022)3D-FERNet: A Facial Expression Recognition Network utilizing 3D information2022 26th International Conference on Pattern Recognition (ICPR)10.1109/ICPR56361.2022.9956497(3265-3272)Online publication date: 21-Aug-2022
https://doi.org/10.1109/ICPR56361.2022.9956497
AKGÜN D(2021)A TENSORFLOW BASED METHOD FOR LOCAL DERIVATIVE PATTERNMugla Journal of Science and Technology10.22531/muglajsci.8306917:1(59-64)Online publication date: 29-Jun-2021
https://doi.org/10.22531/muglajsci.830691

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