A Parametric Study of Deep Perceptual Model on Visible to Thermal Face Recognition

Wei Ta Chu, Jo Ning Wu

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

Recently deep perceptual mapping (DPM) based on auto-encoder provides the state-the-art thermal to visible face recognition. Features extracted from patches of a long-wave infra-red (LWIR) face image are transformed into a space by an auto-encoder, such that features from infra-red images are comparable with features from visible images. In this paper, we comprehensively evaluate DPM with different settings, in order to build a reference study for future research.

原文English
主出版物標題VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538644584
DOIs
出版狀態Published - 2018 七月 2
事件33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018 - Taichung, Taiwan
持續時間: 2018 十二月 92018 十二月 12

出版系列

名字VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing

Conference

Conference33rd IEEE International Conference on Visual Communications and Image Processing, VCIP 2018
國家Taiwan
城市Taichung
期間18-12-0918-12-12

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

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