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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 5471 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 5460 | - |
dc.citation.title | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
dc.citation.volume | 44 | - |
dc.contributor.author | Joo, Kyungdon | - |
dc.contributor.author | Li, Hongdong | - |
dc.contributor.author | Oh, Tae-Hyun | - |
dc.contributor.author | Kweon, In So | - |
dc.date.accessioned | 2023-12-21T13:43:24Z | - |
dc.date.available | 2023-12-21T13:43:24Z | - |
dc.date.created | 2022-01-07 | - |
dc.date.issued | 2022-09 | - |
dc.description.abstract | Taking selfies has become one of the major photographic trends of our time. In this study, we focus on the selfie stick, on which a camera is mounted to take selfies. We observe that a camera on a selfie stick typically travels through a particular type of trajectory around a sphere. Based on this finding, we propose a robust, efficient, and optimal estimation method for relative camera pose between two images captured by a camera mounted on a selfie stick. We exploit the special geometric structure of camera motion constrained by a selfie stick and define this motion as spherical joint motion. Utilizing a novel parametrization and calibration scheme, we demonstrate that the pose estimation problem can be reduced to a 3-degrees of freedom (DoF) search problem, instead of a generic 6-DoF problem. This facilitates the derivation of an efficient branch-and-bound optimization method that guarantees a global optimal solution, even in the presence of outliers. Furthermore, as a simplified case of spherical joint motion, we introduce selfie motion, which has a fewer number of DoF than spherical joint motion. We validate the performance and optimality of our method on both synthetic and real-world data. Additionally, we demonstrate the applicability of the proposed method for two applications: refocusing and stylization. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.9, pp.5460 - 5471 | - |
dc.identifier.doi | 10.1109/TPAMI.2021.3085134 | - |
dc.identifier.issn | 0162-8828 | - |
dc.identifier.scopusid | 2-s2.0-85107326481 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/56603 | - |
dc.identifier.wosid | 000836666600068 | - |
dc.language | 영어 | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.title | Robust and Efficient Estimation of Relative Pose for Cameras on Selfie Sticks | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence;Engineering, Electrical & Electronic | - |
dc.relation.journalResearchArea | Computer Science;Engineering | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Cameras | - |
dc.subject.keywordAuthor | Calibration | - |
dc.subject.keywordAuthor | Pose estimation | - |
dc.subject.keywordAuthor | Geometry | - |
dc.subject.keywordAuthor | Position measurement | - |
dc.subject.keywordAuthor | Motion measurement | - |
dc.subject.keywordAuthor | Wrist | - |
dc.subject.keywordAuthor | Selfie | - |
dc.subject.keywordAuthor | selfie stick | - |
dc.subject.keywordAuthor | relative pose estimation | - |
dc.subject.keywordAuthor | branch-and-bound | - |
dc.subject.keywordAuthor | global optimization | - |
dc.subject.keywordPlus | CONSENSUS | - |
dc.subject.keywordPlus | RANSAC | - |
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