[20a-PB10-1~3] 【CS.2】 Code-sharing Session of 3.3 & 4.4

▲ [20a-PB10-3] Depth-map Computer Generated Holograms Algorithm for Reducing Fast Fourier Transform Computation Steps using Localization Method

〇(M2)Jongha Park¹, Sungjae Park¹, Jonghyun Lee¹, Hwi Kim¹ (1.Korea Univ.)

Keywords:holography

Holography is a technology to record and reproduce information of an object by using the phenomenon of light interference, and it is the ideal goal of the next generation 3D display. The Computer Generated Holograms (CGH) can be generated by various methods such as point cloud, polygon, and depth-map methods. The Depth-map method is more efficient for calculating curved and complex objects than other methods, and can generate 2D intensity and depth information images without the need for an image conversion process. However, the Fast Fourier Transform (FFT) computation amount increases considerably depending on its resolution, it is necessary to develop a CGH generation engine equipped with the reducing algorithm for FFT computation in order to process in high resolution and moving 3D contents. In this paper, we introduce the localization method that can speed up the content generation by reducing the FFT computation amount in the depth-map CGH generation process.