感知优化压缩光场三维显示的显著性引导深度校准

Shizheng Wang, Wenjuan Liao, P. Surman, Zhigang Tu, Yuanjin Zheng, Junsong Yuan
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引用次数: 13

摘要

多层光场显示器是一种计算三维(3D)显示器,近年来因其类似全息的效果和与二维显示器的自然兼容性而受到越来越多的关注。然而,基于多层液晶显示器(lcd)的传统光场建模和重建仍然无法克服深度限制这一主要缺点。考虑到这一缺点,本文结合了在有限显示范围内的显著性引导深度优化来校准显示深度,并为多层光场显示提供最大显著区域面积。与以往报道的使用固定初始化平面作为显示内容深度中心的级联光场显示不同,本文方法基于对比度增强显著性检测方法得出的显著性结果自动校准深度初始化。实验结果表明,该方法在压缩光场显示的视觉感知方面具有很好的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display
Multi-layer light field displays are a type of computational three-dimensional (3D) display which has recently gained increasing interest for its holographic-like effect and natural compatibility with 2D displays. However, the major shortcoming, depth limitation, still cannot be overcome in the traditional light field modeling and reconstruction based on multi-layer liquid crystal displays (LCDs). Considering this disadvantage, our paper incorporates a salience guided depth optimization over a limited display range to calibrate the displayed depth and present the maximum area of salience region for multi-layer light field display. Different from previously reported cascaded light field displays that use the fixed initialization plane as the depth center of display content, our method automatically calibrates the depth initialization based on the salience results derived from the proposed contrast enhanced salience detection method. Experiments demonstrate that the proposed method provides a promising advantage in visual perception for the compressive light field displays from both software simulation and prototype demonstration.
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