Similarity Enhancement of Face Recognition Performance between Real Faces and Facial Videos through Adjustment of a Display Device (디스플레이 장치 조정을 통한 실물과 디스플레이 출력 얼굴 동영상의 얼굴 인식 성능 유사성 향상)

Mi Young Cho (조미영); Young-sook Jeong (정영숙); Byung-Tae Chun (전병태)

Similarity Enhancement of Face Recognition Performance between Real Faces and Facial Videos through Adjustment of a Display Device

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2016, 11(2), pp.197-204
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Published : April 30, 2016

Mi Young Cho ¹, Young-sook Jeong ¹, Byung-Tae Chun ²

¹한국전자통신연구원
²한경대학교

Accredited

ABSTRACT

As face recognition technology, unlike other biometric methods, is more direct, user friendly, and convenient, it is applicable to many areas including security systems and service robot. However, the performance of face recognition systems in a real service environment does not always satisfy the expectations of users, because the performance of face recognition systems is influenced by the user's pose, expression change and lighting in the real environment. So, there is the performance gap between a real service and laboratory environment. To reduce the gap, there are many approaches using such as an algorithm, a mannequin and a high-definition photograph. Unfortunately, it has a limitation to construct a test environment in which the various situations faced by a user and an face recognition system are created similar to those encountered in real environments. Recently, with the development of the display device and capture devices, the performance evaluation method using the high-quality face video output from the display device in place of the actual human face to are proposed. In this paper, we demonstrate the similarity enhancement of face recognition performance between real face and facial videos from display device through gamma adjustment.

KEYWORDS

Face recognition systems, Performance evaluations, Display devices, Gamma adjustment, Facial videos

Citation status

* References for papers published after 2023 are currently being built.

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