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Classification of Emotions from Images Using Localized Subsection Information

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Advances in Computing and Data Sciences (ICACDS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 721))

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Abstract

Emotional intelligence has important social significance and literature indicates that facial features are an important factor in determining the emotional state. It has been an intense study field to build systems that are capable to recognize emotions automatically based on facial expressions. Various approaches have been proposed but still there is a scope of improvement in detection accuracy because of diverse form of expressions exhibiting the same emotion. A widely used approach in the object detection field is Histogram of Oriented gradients. In this paper extensive experiments are conducted using various subsection sizes of images of histogram of oriented gradients and also along with Local Binary Pattern to extract the features for classification of emotions from facial images. Quantitative analysis of the approach in comparison with others is done to show its applicability and effectiveness.

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Authors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, India

    Abhishek Singh Kilak & Namita Mittal

Authors
  1. Abhishek Singh Kilak
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  2. Namita Mittal
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Corresponding author

Correspondence to Abhishek Singh Kilak .

Editor information

Editors and Affiliations

  1. Krishna Engineering College, Ghaziabad, Uttar Pradesh, India

    Mayank Singh

  2. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    P.K. Gupta

  3. Department of Computer Science and Engineering, Raghogarh, Jaypee University of Engineering and Technology, Guna, Madhya Pradesh, India

    Vipin Tyagi

  4. Indira Gandhi Delhi Technical University, New Delhi, India

    Arun Sharma

  5. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

    Tuncer Ören

  6. Department of Computer and Information Science, University of Michigan-Dearborn, Dearborn, Michigan, USA

    William Grosky

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Kilak, A.S., Mittal, N. (2017). Classification of Emotions from Images Using Localized Subsection Information. In: Singh, M., Gupta, P., Tyagi, V., Sharma, A., Ören, T., Grosky, W. (eds) Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore. https://doi.org/10.1007/978-981-10-5427-3_57

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  • DOI: https://doi.org/10.1007/978-981-10-5427-3_57

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5426-6

  • Online ISBN: 978-981-10-5427-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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