Convolution Neural Network for Pose Estimation of Noisy Three-Dimensional Face Images

Bharindra Kamanditya, Randy Pangestu Kuswara, Muhammad Adi Nugroho, Benyamin Kusumo Putro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

From limited two-dimensional recognition, facial recognition has now been developed to be able to recognize three-dimensional face images, which usually involves process of face pose estimation. As the conventional artificial neural networks has shown low recognition rate to this problem, Convolution Neural Network have been the most potential classifier to determine the pose estimation of a three-dimensional face images. Convolution operation is expected to minimize the effect of distortion and disorientation of the object, and able to efficiently reduce the required parameters. Results show that the CNN system could estimate the pose position of the 3D face images with high recognition rate, however, this recognition rate decline significantly for the noisy buried face images, showing the CNN still need improvement to deal with noisy environments.

Original languageEnglish
Title of host publication2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538679661
DOIs
Publication statusPublished - 28 Jan 2019
Event5th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018 - Bangkok, Thailand
Duration: 22 Nov 201823 Nov 2018

Publication series

Name2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018

Conference

Conference5th IEEE International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018
CountryThailand
CityBangkok
Period22/11/1823/11/18

Keywords

  • convolutional neural network
  • face recognition
  • head pose estimation
  • hyperparameter evaluation
  • image noises

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  • Cite this

    Kamanditya, B., Kuswara, R. P., Nugroho, M. A., & Putro, B. K. (2019). Convolution Neural Network for Pose Estimation of Noisy Three-Dimensional Face Images. In 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018 [8629150] (2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences, ICETAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICETAS.2018.8629150