Electronics and Telecommunications Trends (전자통신동향분석)

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Research Trends for Deep Learning-Based High-Performance Face Recognition Technology

딥러닝 기반 고성능 얼굴인식 기술 동향

  • Published : 2018.08.01
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Abstract

As face recognition (FR) has been well studied over the past decades, FR technology has been applied to many real-world applications such as surveillance and biometric systems. However, in the real-world scenarios, FR performances have been known to be significantly degraded owing to variations in face images, such as the pose, illumination, and low-resolution. Recently, visual intelligence technology has been rapidly growing owing to advances in deep learning, which has also improved the FR performance. Furthermore, the FR performance based on deep learning has been reported to surpass the performance level of human perception. In this article, we discuss deep-learning based high-performance FR technologies in terms of representative deep-learning based FR architectures and recent FR algorithms robust to face image variations (i.e., pose-robust FR, illumination-robust FR, and video FR). In addition, we investigate big face image datasets widely adopted for performance evaluations of the most recent deep-learning based FR algorithms.

Keywords

Acknowledgement

Grant : 실시간 대규모 영상 데이터 이해 예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발

Supported by : 정보통신기술진흥센터

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