Graphics processing unit （GPU） based fast calculation method for computer generated spherical hologram （CGSH） of a real-existing object is proposed. Three-dimensional （3D） point cloud is constructed by capturing...Graphics processing unit （GPU） based fast calculation method for computer generated spherical hologram （CGSH） of a real-existing object is proposed. Three-dimensional （3D） point cloud is constructed by capturing a real-existing object from multiple directions using a depth camera. The GPU based calculation is used in both hologram generation part and numerical reconstruction part of the CGSH. The improved calculation efficiency is verified by comparing the computation speed between central processing unit （CPU） based and GPU based imDlementation.展开更多
We introduce a phase-only hologram generation method based on an integral imaging, and propose an enhancement method in representable depth interval. The computational integral imaging reconstruction method is modifie...We introduce a phase-only hologram generation method based on an integral imaging, and propose an enhancement method in representable depth interval. The computational integral imaging reconstruction method is modified based on optical flow to obtain depth-slice images for the focused objects only. A phaseonly hologram for＇ multiple plane images is generated using the iterative Fresnel transform algorithm. In addition, a division method in hologram plane is proposed for enhancement in the representable minimum depth interval.展开更多
基金supported by the IT R&D program of MSIP/KEIT(Fundamental technology development fordigital holographic contents)
文摘Graphics processing unit （GPU） based fast calculation method for computer generated spherical hologram （CGSH） of a real-existing object is proposed. Three-dimensional （3D） point cloud is constructed by capturing a real-existing object from multiple directions using a depth camera. The GPU based calculation is used in both hologram generation part and numerical reconstruction part of the CGSH. The improved calculation efficiency is verified by comparing the computation speed between central processing unit （CPU） based and GPU based imDlementation.
基金supported by the Brain Korea 21 Program (Information Technology of Seoul National University)
文摘We introduce a phase-only hologram generation method based on an integral imaging, and propose an enhancement method in representable depth interval. The computational integral imaging reconstruction method is modified based on optical flow to obtain depth-slice images for the focused objects only. A phaseonly hologram for＇ multiple plane images is generated using the iterative Fresnel transform algorithm. In addition, a division method in hologram plane is proposed for enhancement in the representable minimum depth interval.
