DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최은수 | - |
dc.contributor.author | 김경태 | - |
dc.contributor.author | YUN, JOOYEONG | - |
dc.contributor.author | YUJIN, JEON | - |
dc.contributor.author | RHO, JUNSUK | - |
dc.contributor.author | BAEK, SEUNG HWAN | - |
dc.date.accessioned | 2024-06-17T08:21:32Z | - |
dc.date.available | 2024-06-17T08:21:32Z | - |
dc.date.created | 2024-02-28 | - |
dc.date.issued | 2024-06 | - |
dc.identifier.issn | 1749-4885 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/123604 | - |
dc.description.abstract | Structured light has proven instrumental in three-dimensional imaging, LiDAR and holographic light projection. Metasurfaces, comprising subwavelength-sized nanostructures, facilitate 180°-field-of-view structured light, circumventing the restricted field of view inherent in traditional optics like diffractive optical elements. However, extant-metasurface-facilitated structured light exhibits sub-optimal performance in downstream tasks, due to heuristic design patterns such as periodic dots that do not consider the objectives of the end application. Here we present 360° structured light, driven by learned metasurfaces. We propose a differentiable framework that encompasses a computationally efficient 180° wave propagation model and a task-specific reconstructor, and exploits both transmission and reflection channels of the metasurface. Leveraging a first-order optimizer within our differentiable framework, we optimize the metasurface design, thereby realizing 360° structured light. We have utilized 360° structured light for holographic light projection and three-dimensional imaging. Specifically, we demonstrate the first 360° light projection of complex patterns, enabled by our propagation model that can be computationally evaluated 50,000× faster than the Rayleigh–Sommerfeld propagation. For three-dimensional imaging, we improve the depth-estimation accuracy by 5.09× in root-mean-square error compared with heuristically designed structured light. Such 360° structured light promises robust 360° imaging and display for robotics, extended-reality systems and human–computer interactions. © The Author(s), under exclusive licence to Springer Nature Limited 2024. | - |
dc.language | English | - |
dc.publisher | Nature Pub. Group | - |
dc.relation.isPartOf | Nature Photonics | - |
dc.title | 360° Structured Light with Learned Metasurfaces | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41566-024-01450-x | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | Nature Photonics | - |
dc.identifier.wosid | 001243867500001 | - |
dc.citation.title | Nature Photonics | - |
dc.contributor.affiliatedAuthor | 최은수 | - |
dc.contributor.affiliatedAuthor | 김경태 | - |
dc.contributor.affiliatedAuthor | YUN, JOOYEONG | - |
dc.contributor.affiliatedAuthor | YUJIN, JEON | - |
dc.contributor.affiliatedAuthor | RHO, JUNSUK | - |
dc.contributor.affiliatedAuthor | BAEK, SEUNG HWAN | - |
dc.identifier.scopusid | 2-s2.0-85195635506 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.type.docType | Article; Early Access | - |
dc.subject.keywordPlus | RAYLEIGH-SOMMERFELD | - |
dc.subject.keywordPlus | PHASE | - |
dc.subject.keywordPlus | KIRCHHOFF | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalResearchArea | Physics | - |
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