High-speed full analytical holographic computations for true-life scenes

Abstract

We develop a novel method to generate hologram of three-dimensional (3D) textured triangle-mesh-model that is reconstructed from ordinary digital photos. This method allows analytically encoding the 3D model consisting of triangles. In contrast to other polygon based holographic computations, our full analytical method will free oneself from the numerical error that is in the angular spectrum due to the Whittaker-Shannon sampling. In order to saving the computation time, we employ the GPU platform that is remarkably superior to the CPU's. We have rendered a true-life scene with colored textures as the first demo by our homemade software. The holographic reconstructed scene possesses high performances in many aspects such as depth cues, surface textures, shadings, and occlusions, etc. The GPU's algorithm performs hundreds of times faster than those of CPU.

Novel Optimization Method of Phase-Only Computer-Generated Hologram Using the Phase-Shift Characteristic

“…디지털 홀로그래피 방법은 3차원 물체를 모델링하여 실제 빛 분포를 만들어내는 CGH (Computer Generated Hologram) 와 이를 저장해주는 SLM(Spatial Light Modulator)을 이용한 방식이 주로 이용되고 있다. 이 방식은 필름 방식이 갖던 한 계점을 극복하여, 홀로그램의 무한한 저장 및 재생이 가능한 특징과 손쉽게 3차원 물체 표현이 가능하다는 장점을 가지 고 있다 [4][5][6][7][8][9].…”

Graphics processing unit-based implementation of a one-dimensional novel-look-up-table for real-time computation of Fresnel hologram patterns of three-dimensional objects

“…[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] One of them is the look-up-table (LUT) method. 1 In this method, a significant increase of the computational speed has been obtained by precalculating all fringe patterns corresponding to point-source contributions from each of the possible locations in the object volume, which are called elemental fringe patterns (EFPs), and by storing them in the LUT.…”

“…[11][12][13][14][15][16] For the N-LUT algorithm, simultaneous loading of a set of PFPs as well as the input 3-D object data onto the internal memory of the GPU is needed for the calculation of Fresnel hologram patterns, so that the memory and computing structure of the GPU must be carefully evaluated for efficient implementation of the N-LUT on them. In this regard, the conventional 2-D N-LUT requiring more than GB memory for storing the 2-D PFPs may not be compatible with the GPU having low-memory capacities.…”

High-Performance Computer-Generated Hologram by Optimized Implementation of Parallel GPGPUs

“…There have been several research efforts to generate electronic holograms using GPGPU-based systems [4][5][6][7][8]. The goal was to create digital holograms at high-speed, and to provide video service using the GPGPU in real time.…”