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- Publisher Website: 10.1145/3130800.3130839
- Scopus: eid_2-s2.0-85038955047
- WOS: WOS:000417448700021
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Conference Paper: Mix-and-match holography
Title | Mix-and-match holography |
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Authors | |
Issue Date | 2017 |
Citation | ACM Transactions on Graphics, 2017, v. 36, n. 6, article no. a191 How to Cite? |
Abstract | Computational caustics and light steering displays offer a wide range of interesting applications, ranging from art works and architectural installations to energy efficient HDR projection. In this work we expand on this concept by encoding several target images into pairs of front and rear phase-distorting surfaces. Different target holograms can be decoded by mixing and matching different front and rear surfaces under specific geometric alignments. Our approach, which we call mix-and-match holography, is made possible by moving from a refractive caustic image formation process to a diffractive, holographic one. This provides the extra bandwidth that is required to multiplex several images into pairing surfaces. We derive a detailed image formation model for the setting of holographic projection displays, as well as a multiplexing method based on a combination of phase retrieval methods and complex matrix factorization. We demonstrate several application scenarios in both simulation and physical prototypes. |
Persistent Identifier | http://hdl.handle.net/10722/315279 |
ISSN | 2023 Impact Factor: 7.8 2023 SCImago Journal Rankings: 7.766 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Peng, Yifan | - |
dc.contributor.author | Dun, Xiong | - |
dc.contributor.author | Sun, Qilin | - |
dc.contributor.author | Heidrich, Wolfgang | - |
dc.date.accessioned | 2022-08-05T10:18:18Z | - |
dc.date.available | 2022-08-05T10:18:18Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | ACM Transactions on Graphics, 2017, v. 36, n. 6, article no. a191 | - |
dc.identifier.issn | 0730-0301 | - |
dc.identifier.uri | http://hdl.handle.net/10722/315279 | - |
dc.description.abstract | Computational caustics and light steering displays offer a wide range of interesting applications, ranging from art works and architectural installations to energy efficient HDR projection. In this work we expand on this concept by encoding several target images into pairs of front and rear phase-distorting surfaces. Different target holograms can be decoded by mixing and matching different front and rear surfaces under specific geometric alignments. Our approach, which we call mix-and-match holography, is made possible by moving from a refractive caustic image formation process to a diffractive, holographic one. This provides the extra bandwidth that is required to multiplex several images into pairing surfaces. We derive a detailed image formation model for the setting of holographic projection displays, as well as a multiplexing method based on a combination of phase retrieval methods and complex matrix factorization. We demonstrate several application scenarios in both simulation and physical prototypes. | - |
dc.language | eng | - |
dc.relation.ispartof | ACM Transactions on Graphics | - |
dc.title | Mix-and-match holography | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/3130800.3130839 | - |
dc.identifier.scopus | eid_2-s2.0-85038955047 | - |
dc.identifier.volume | 36 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | article no. a191 | - |
dc.identifier.epage | article no. a191 | - |
dc.identifier.eissn | 1557-7368 | - |
dc.identifier.isi | WOS:000417448700021 | - |