한국방송∙미디어공학회:학술대회논문집 (Proceedings of the Korean Society of Broadcast Engineers Conference)
- 한국방송공학회 2013년도 추계학술대회
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- Pages.114-115
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- 2013
인포커스 및 디포커스 영상으로부터 깊이맵 생성
A Depth Estimation Using Infocused and Defocused Images
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김만배
(강원대학교 컴퓨터 정보통신공학과)
- Mahmoudpour, Seed (Dept. of Computer & Communications, Kangwon National University) ;
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Kim, Manbae
(Dept. of Computer & Communications, Kangwon National University)
- 발행 : 2013.11.08
초록
The blur amount of an image changes proportional to scene depth. Depth from Defocus (DFD) is an approach in which a depth map can be obtained using blur amount calculation. In this paper, a novel DFD method is proposed in which depth is measured using an infocused and a defocused image. Subbaro's algorithm is used as a preliminary depth estimation method and edge blur estimation is provided to overcome drawbacks in edge.
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