Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionVisual Computing Center (VCC)
Electrical Engineering Program
Computer Science Program
Date
2017-11-22Online Publication Date
2017-11-22Print Publication Date
2017-11-20Permanent link to this record
http://hdl.handle.net/10754/626445
Metadata
Show full item recordAbstract
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.
Citation
Peng Y, Dun X, Sun Q, Heidrich W (2017) Mix-and-match holography. ACM Transactions on Graphics 36: 1–12. Available: http://dx.doi.org/10.1145/3130800.3130839.Sponsors
This work is supported by the KAUST baseline funding, as well as the UBC 4YF Doctoral Award.Journal
ACM Transactions on GraphicsConference/Event name
10th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in AsiaAdditional Links
https://dl.acm.org/citation.cfm?doid=3130800.3130839ae974a485f413a2113503eed53cd6c53
10.1145/3130800.3130839