Hyper-parameter determination of CNN classifier for head pose estimation of three dimensional degraded face images

Randy Pangestu Kuswana, Akhmad Faqih, Benyamin Kusumoputro

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

Abstract

This paper presents the evaluation of parameters for head pose estimation using Convolutional Neural Network (CNN) towards the degraded images. Head pose estimation is one of the important factor for three dimensional face recognition system. Due to its superiority, Convolutional Neural Network (CNN) has been used as a head pose estimator, however, its performance is significantly dropped when the input face images is exposed to noises. As the CNN comes with different choices of pooling layer, two different experimental setups are created with similar architecture and training condition but using a different type of pooling layer. After learning, the CNN are tested with another five different testing datasets to monitor the effects of various particular noises, such as: Gaussian noise, Salt-Pepper, and Speckle. Result of the experiments shows that the usage of max pooling significantly lowering the performance of the CNN, compared to the system with average pooling layer.

Original languageEnglish
Title of host publicationProceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation
Subtitle of host publicationExploring the Future Technology of Applied Information Technology and Innovation
EditorsHumaira Humaira, Rahmat Hidayat, Alde Alanda, Yance Sonatha, Indri Rahmayuni
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-104
Number of pages6
ISBN (Electronic)9781728130163
DOIs
Publication statusPublished - Sep 2019
Event2nd International Conference on Applied Information Technology and Innovation, ICAITI 2019 - Bali, Indonesia
Duration: 21 Sep 201922 Sep 2019

Publication series

NameProceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation: Exploring the Future Technology of Applied Information Technology and Innovation

Conference

Conference2nd International Conference on Applied Information Technology and Innovation, ICAITI 2019
CountryIndonesia
CityBali
Period21/09/1922/09/19

Keywords

  • Convolutional neural network
  • Face recognition head pose estimation
  • Hyperparameter evaluation
  • Image noises

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    Kuswana, R. P., Faqih, A., & Kusumoputro, B. (2019). Hyper-parameter determination of CNN classifier for head pose estimation of three dimensional degraded face images. In H. Humaira, R. Hidayat, A. Alanda, Y. Sonatha, & I. Rahmayuni (Eds.), Proceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation: Exploring the Future Technology of Applied Information Technology and Innovation (pp. 99-104). [8982142] (Proceedings of ICAITI 2019 - 2nd International Conference on Applied Information Technology and Innovation: Exploring the Future Technology of Applied Information Technology and Innovation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAITI48442.2019.8982142