DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kweon, In So | - |
dc.contributor.advisor | 권인소 | - |
dc.contributor.author | Im, Sunghoon | - |
dc.date.accessioned | 2019-09-04T02:40:11Z | - |
dc.date.available | 2019-09-04T02:40:11Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=849920&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/266708 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2016.2,[vi, 50 p. :] | - |
dc.description.abstract | This thesis presents a practical 3D reconstruction method to obtain a high-quality dense depth map from narrow-baseline image sequences captured by commercial digital cameras, such as DSLRs or mobile phones. Depth estimation from small motion has gained interest as a means of various photographic editing, but important limitations present themselves in the form of depth uncertainty due to a narrow baseline and rolling shutter. To address these problems, we introduce a novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras. Additionally, we present a depth propagation method to fill in the holes associated with the unknown pixels based on our novel geometric guidance model. Both qualitative and quantitative experimental results show that our new algorithm consistently generates better 3D depth maps than those by the state-of-the-art method. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Structure from motion (SfM)▼asmall motion▼adepth propagation | - |
dc.subject | 3차원 구조복원▼a작은 움직임▼a깊이정보 획득▼a롤링 셔터▼a휴대용 카메라 | - |
dc.title | Structure from small motion for hand-held cameras | - |
dc.title.alternative | 휴대용 카메라의 작은 움직임을 이용한 3차원 구조 복원 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 임성훈 | - |
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