Corpus ID: 204509532

Facial Expression Recognition Using Human to Animated-Character Expression Translation

  title={Facial Expression Recognition Using Human to Animated-Character Expression Translation},
  author={K. Ali and Ilkin Isler and C. Hughes},
  • K. Ali, Ilkin Isler, C. Hughes
  • Published 2019
  • Computer Science
  • ArXiv
  • Facial expression recognition is a challenging task due to two major problems: the presence of inter-subject variations in facial expression recognition dataset and impure expressions posed by human subjects. In this paper we present a novel Human-to-Animation conditional Generative Adversarial Network (HA-GAN) to overcome these two problems by using many (human faces) to one (animated face) mapping. Specifically, for any given input human expression image, our HA-GAN transfers the expression… CONTINUE READING
    3 Citations

    Figures, Tables, and Topics from this paper

    All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network
    • 3
    • PDF
    Face Reenactment Based Facial Expression Recognition


    Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network
    • 15
    • PDF
    Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks
    • Huiyuan Yang, Zheng Zhang, L. Yin
    • Computer Science
    • 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
    • 2018
    • 33
    Facial Expression Recognition Using Disentangled Adversarial Learning
    • 9
    • PDF
    Facial Expression Recognition by De-expression Residue Learning
    • 118
    • Highly Influential
    • PDF
    Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis
    • 218
    • PDF
    Dynamic Facial Expression Recognition Using Longitudinal Facial Expression Atlases
    • 80
    Identity-Aware Convolutional Neural Network for Facial Expression Recognition
    • 122
    • PDF
    Deep Facial Expression Recognition: A Survey
    • 268
    • PDF
    Image based Static Facial Expression Recognition with Multiple Deep Network Learning
    • 345
    • PDF
    Facial expression recognition from near-infrared videos
    • 276
    • Highly Influential
    • PDF