DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 김민혁 | - |
dc.contributor.author | Meuleman, Andreas | - |
dc.contributor.author | 므르만 아드레아 | - |
dc.date.accessioned | 2024-07-26T19:31:01Z | - |
dc.date.available | 2024-07-26T19:31:01Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1047414&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320987 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전산학부, 2023.8,[vi, 69 p. :] | - |
dc.description.abstract | The objective of RGB-D imaging is to capture a color image associated with a depth or distance map. Capturing a scene's appearance and geometry information has become an essential imaging modality for applications in robotics, autonomous driving, and virtual and augmented reality. However, accurate RGB-D imaging systems often rely on multiple sensors, several shots, and/or high-power active illumination, resulting in increased hardware and computational costs. This thesis presents imaging systems designed to recover the color and geometry of a scene under challenging constraints. The objective is to develop relevant RGB-D imaging approaches that enable higher-quality geometry and appearance acquisition at lower hardware and/or computational costs. Specifically, we attempt to minimize the number of sensors, reduce the use of high-power active illumination, and/or demonstrate real-time performance. In this context, we develop three methods for RGB-D imaging in constrained scenarios. First, we present a monocular single-shot RGB-D imaging system based on uneven double refraction. Using a polarizer and a birefringent medium, we achieve real-time RGB-D imaging from a single RGB sensor. Second, we introduce an integrated omnidirectional system from fisheye images that provides RGB-D panoramas in real-time on an embedded board. Lastly, we propose a ToF/Stereo fusion method using mobile phone sensors. We accommodate the unknown lens motion and noisy low-power Time-of-Flight (ToF) module of the battery-powered device through per-snapshot calibration and effective inclusion of the ToF samples into the stereo correlation volume. Overall, this thesis contributes to advancements in RGB-D imaging, offering practical solutions for efficient 3D scene understanding under various constraints. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | RGB-D 이미징▼a스테레오▼a360 이미징▼a카메라 보정▼a센서 퓨전▼a비행 시간 | - |
dc.subject | RGB-D imaging▼aStereo▼a360 imaging▼aCamera calibration▼aSensor fusion▼aTime of flight | - |
dc.title | Integrated RGB-D imaging for efficient 3D scene understanding | - |
dc.title.alternative | 효율적인 3차원 장면 이해를 위한 통합 RGB-D 이미징 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | Kim, Min Hyuk | - |
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