Acceleration of polygon-based computer-generated holograms using look-up tables and reduction of the table size via principal component analysis
Fan Wang, Tomoyoshi Shimobaba, Yaping Zhang, Takashi Kakue, Tomoyoshi Ito
Abstract
In this study, we first analyze the fully analytical frequency spectrum solving method based on three-dimensional affine transform. Thus, we establish a new method for combining look-up tables (LUTs) with polygon holography. The proposed method was implemented and proved to be accelerated about twice compared to the existing methods. In addition, principal component analysis was used to compress the LUTs, effectively reducing the required memory without artifacts. Finally, we calculated very complex objects on a graphics processing unit using the proposed method, and the calculation speed was higher than that of existing polygon-based methods.
Topics & Concepts
Polygon (computer graphics)Computer scienceHolographyPrincipal component analysisGraphics processing unitAccelerationHolographic displayTable (database)Component (thermodynamics)Reduction (mathematics)Lookup tableOpticsComputer graphics (images)AlgorithmArtificial intelligenceMathematicsFrame (networking)Parallel computingPhysicsGeometryClassical mechanicsData miningProgramming languageThermodynamicsTelecommunicationsAdvanced Optical Imaging TechnologiesPhotorefractive and Nonlinear OpticsDigital Holography and Microscopy