P‐98: A Turnkey Solution to Automatic Calibration and Crosstalk Reduction for Mobile Three‐dimensional Display

Ma, Kui; Pei, Renjun; Zhang, Geng

doi:10.1002/sdtp.11976

Cited by 1 publication

(1 citation statement)

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“…In the previous work, we have systematically introduced the rendering process of the light field display [15][16], including the early light field data acquisition, processing [17] and display calibration [18][19][20][21]. Since the optical path is determined by the display hardware, we can only correct the color value of the light in the re-rendering process.…”

Section: Light Field Display Rendering Systemmentioning

confidence: 99%

12.2: A 3D Display Parallel System: Light Field Re‐rendering and Depth Sense Optimization

Pei¹,

Ma²,

Wang³

2018

Symp Digest of Tech Papers

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The main benefit of 3D display over 2D display is the obvious ability to create a more lifelike character with high depth sense. However, the limitation of human eye's visual mechanism, unartful 3D scene structure design, or bad viewing condition always emerges poor depth perception experience or even physiological discomfort during the watching time, which is often sub‐optimal for mass high‐quality 3D display productions. To solve this problem, we propose a novel 3D display parallel system for depth sense optimization and it empirically guides how the light field should be re‐rendered. Structurally, the parallel system consists of an artificial perception measurement system, a display evaluation model and a light field display rendering system, which includes the display calibration, scene capture, light field data processing and display. Particularly, the system can systematically analyze and model various factors affecting the depth sense which learned through the measurement system, like scene structure, objects’ speeds in 3D video and so on. And those sense factors can be personally modified or increased according to the viewer's demands or technical improvement. Moreover, the light field could be real‐time re‐rendered, based on some image processing technology, optical flow analysis and object segmentation (or tracking) (especially the one‐shot video segmentation). Theory and algorithms are developed and experimental validation results show a superior performance.

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