首页|立体视觉在伪装设计中应用的可行性研究

立体视觉在伪装设计中应用的可行性研究

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双目视差引起的深度信息是促使观察员准确识别伪装目标的重要线索.双目视差诱发的立体视觉只在特定距离范围内有效,主要应用于提高伪装目标的识别概率和准确性.利用随机点立体图(random dot stereograms,RDS)诱发观察者产生立体视觉并采集其脑电(electroencephalogram,EEG)信号,分析识别过程中观察者的行为数据、脑电疲劳指标和动态功能网络变化情况.行为数据表明,含有视差的RDS可使被试者产生立体视觉.在4个电极上检测出疲劳指标存在显著差异,且变化趋势不一致.行为数据也表明,观察员无主观疲劳感受.动态功能网络分析表明,双目视差刺激使α频段和β频段的脑功能网络产生了更强健的子网络.证明了含视差RDS能有效诱使观察员产生立体视觉,这种视错觉会导致观察员对错误的目标轮廓产生更多关注,且不会引起明显的疲劳感受.这一发现为将双目视差用于伪装设计提供了生理学依据,可利用双目视差增强平面假目标和迷彩斑点的立体效果.
Feasibility of Applying Stereoscopic Vision in Camouflage Design
The depth information derived from binocular disparity is a critical clue enabling observers to accurately identify camouflaged targets.Stereoscopic vision induced by binocular disparity is effective only within a specific range of distances and is primarily applied to enhance the probability and accuracy of rec-ognizing camouflaged targets.This study employs random dot stereograms(RDS)to induce stereoscopic vision in observers and collects their electroencephalogram(EEG)signals.The analysis covers the behav-ioral data of the observers,EEG fatigue indicators,and changes in dynamic functional networks through-out this process.Behavioral data demonstrates that RDS containing small disparity can induce stereoscopic vision in subjects.Significant differences in fatigue indicators can be detected at four electrodes,though the trends vary.Behavioral data also indicate that the observers have not subjectively experienced fatigue.Dynamic functional network analysis reveals that binocular disparity stimuli can induce stronger subnet-works in the α and β frequency bands of the brain functional network.This study confirms that RDS contai-ning small disparity can effectively induce stereoscopic vision in observers,leading them to pay more atten-tion to erroneous target contours without causing noticeable fatigue.The findings provide a physiological basis for employing binocular disparity in camouflage design,enhancing the stereoscopic effect of flat fake targets and camouflaged patterns.

binocular parallaxelectroencephalogram(EEG)dynamic function networkcamou-flage

俞宙、许卫东、刘君、贾其、刘亚文、李浩

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陆军工程大学野战工程学院,江苏南京 210007

双目视差 脑电 动态功能网络 伪装

2024

陆军工程大学学报
解放军理工大学科研部

陆军工程大学学报

影响因子:0.556
ISSN:2097-0730
年,卷(期):2024.3(5)