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학술대회 A screen of slide detection method using deep learning-based segmentation and Hough transform
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홍준영, 정성욱, 이용우, 허현범, 양혜리, 김하연, 이경재
International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC) 2022, pp.272-274
22HH9200, 실·가상 환경 해석 기반 적응형 인터랙션 기술 개발, 정성욱
Recently, COVID-19 has accelerated the non-contact culture. Many presentations, such as workshops and conferences, are conducted in an online and offline hybrid mode in a conference room. In presentations, a screen of the slide is particularly important. Therefore, we propose an algorithm that detects the screen in an image. Firstly, a screen region is extracted using a deep learning-based instance segmentation method. However, this extracted region has a noisy boundary. We designed an image processing algorithm composed of 7 main steps to solve this noise and detect the screen. To validate the proposed method, a real dataset was qualitatively evaluated, and the result images show that only meaningful screen regions in the test image can be extracted.
KSP 제안 키워드
Detection Method, Image Processing algorithm, Learning-based, Non-contact, Online and Offline, deep learning(DL), hough transform, hybrid mode, segmentation method