상세정보
Export to Refworks부가기능
3D Pose Estimation for Bin-picking: A Data-driven Approach Using Multi-light Images
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | 3D Pose Estimation for Bin-picking: A Data-driven Approach Using Multi-light Images. |
| 개인저자 | Rodrigues, Jose Jeronimo Moreira. |
| 단체저자명 | Carnegie Mellon University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Carnegie Mellon University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 113 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438338753 |
| 학위논문주기 | Thesis (Ph.D.)--Carnegie Mellon University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Includes supplementary digital materials. Advisers: Takeo Kanade |
| 요약 | We study the problem of 3D pose estimation of textureless shiny objects from monocular 2D images, for a bin-picking task. The main challenge of dealing with a shiny object comes from the fact that the object appearance largely changes with its p |
| 요약 | In this thesis, we develop a purely data-driven method to tackle the pose estimation problem. Motivated by photometric stereo, we develop an imaging system with multiple lights to acquire a multi-light image where channels are obtained by varyin |
| 요약 | Experiments show that the given method can detect and estimate poses of textureless and shiny objects accurately and robustly within half a second. We further compare our approach with the HALCON commercial software, a highly optimized hierarchi |
| 일반주제명 | Robotics. Computer science. Computer engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
