Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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A Flexible Model-Based Face Region Detection Method

유연한 모델 기반의 얼굴 영역 검출 방법

  • 장석우 (안양대학교 소프트웨어학과)
  • Received : 2021.03.12
  • Accepted : 2021.05.07
  • Published : 2021.05.31
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Abstract

Unlike general cameras, a high-speed camera capable of capturing a large number of frames per second can enable the advancement of some image processing technologies that have been limited so far. This paper proposes a method of removing undesirable noise from an high-speed input color image, and then detecting a human face from the noise-free image. In this paper, noise pixels included in the ultrafast input image are first removed by applying a bidirectional filter. Then, using RetinaFace, a region representing the person's personal information is robustly detected from the image where noise was removed. The experimental results show that the described algorithm removes noise from the input image and then robustly detects a human face using the generated model. The model-based face-detection method presented in this paper is expected to be used as basic technology for many practical application fields related to image processing and pattern recognition, such as indoor and outdoor building monitoring, door opening and closing management, and mobile biometric authentication.

일반적인 카메라와 다르게 초당 매우 많은 개수의 프레임을 캡처할 수 있는 기능을 가진 고속의 카메라는 그동안 제한적이었던 일부의 영상 처리 기술들의 고도화를 가능하게 할 수 있다. 본 논문에서는 입력되는 초고속의 컬러 영상으로부터 잡음을 제거한 다음, 잡음이 제거된 영상으로부터 사람의 얼굴 영역을 검출하는 방법을 제시한다. 본 논문에서는 우선 입력되는 초고속의 영상 안에 포함된 잡음 화소들을 양방향의 필터를 적용하여 효과적으로 제거한다. 그런 다음, 레티나 얼굴 모델을 사용하여 잡음이 제거된 영상으로부터 사람의 개인 정보를 대표적으로 나타내는 얼굴 영역을 강인하게 검출한다. 실험 결과에서는 본 논문에서 제시한 알고리즘이 입력되는 컬러 영상으로부터 잡음을 제거한 다음, 생성된 모델을 사용하여 사람의 얼굴 영역을 강인하게 검출한다는 것을 보여준다. 본 논문에서 제시된 모델 기반의 얼굴 영역검출 방법은 실내외 건물의 모니터링, 출입문 개폐 관리, 그리고 모바일 생체 인증과 같은 영상처리 및 패턴 인식과 관련된 실제적인 많은 응용 분야의 기초 기술로 사용될 것으로 예상된다.

Keywords

References

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