舰船电子工程2025，Vol.45Issue(11)：133-138,6.DOI:10.3969/j.issn.1672-9730.2025.11.028
基于变化尺度的深度感知优化方法
Depth Perception Optimization Method Based on Scale Variation
摘要
Abstract
Compared to the real world,users observing virtual environments may experience inconsistent depth perception,which hampers the application of virtual simulation systems in training scenarios.To mitigate or eliminate these discrepancies,this paper proposes a depth perception optimization method based on scale variation.By establishing a depth perception mapping model between real and virtual observation spaces through scale variations induced by field-of-view(FOV)scaling in virtual scenes,the method maps corresponding depth perception relationships to the scaling adjustments of large virtual objects.This enhances depth perception effects for trainees.Additionally,to address the limited visible range of small objects in virtual scenes due to restricted display resolution,their physical dimensions are appropriately enlarged.This expands their visible range without significantly im-pacting depth estimation,thereby improving visibility distances consistent with real-world scenes.Tests conducted on a marine sim-ulator demonstrate that the proposed method effectively enhances users'depth perception experience.关键词
虚拟环境/观察空间/深度感知/模拟训练/尺度映射模型Key words
virtual environment/observation space/depth perception/simulation training/scale mapping model分类
信息技术与安全科学引用本文复制引用
刘喜作,王振江,汪浩..基于变化尺度的深度感知优化方法[J].舰船电子工程,2025,45(11):133-138,6.
