Chaochao Liu;Shining Ma;Yue Liu;Yongtian Wang;Weitao Song
{"title":"Depth Perception in Optical See-Through Augmented Reality: Investigating the Impact of Texture Density, Luminance Contrast, and Color Contrast","authors":"Chaochao Liu;Shining Ma;Yue Liu;Yongtian Wang;Weitao Song","doi":"10.1109/TVCG.2024.3456162","DOIUrl":null,"url":null,"abstract":"The immersive augmented reality (AR) system necessitates precise depth registration between virtual objects and the real scene. Prior studies have emphasized the efficacy of surface texture in providing depth cues to enhance depth perception across various media, including the real scene, virtual reality, and AR. However, these studies predominantly focus on black-and-white textures, leaving a gap in understanding the effectiveness of colored textures. To address this gap and further explore texture-related factors in AR, a series of experiments were conducted to investigate the effects of different texture cues on depth perception using the perceptual matching method. Findings indicate that the absolute depth error increases with decreasing contrast under black-and-white texture. Moreover, textures with higher color contrast also contribute to enhanced accuracy of depth judgments in AR. However, no significant effect of texture density on depth perception was observed. The findings serve as a theoretical reference for texture design in AR, aiding in the optimization of virtual-real registration processes.","PeriodicalId":94035,"journal":{"name":"IEEE transactions on visualization and computer graphics","volume":"30 11","pages":"7266-7276"},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE transactions on visualization and computer graphics","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10670456/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The immersive augmented reality (AR) system necessitates precise depth registration between virtual objects and the real scene. Prior studies have emphasized the efficacy of surface texture in providing depth cues to enhance depth perception across various media, including the real scene, virtual reality, and AR. However, these studies predominantly focus on black-and-white textures, leaving a gap in understanding the effectiveness of colored textures. To address this gap and further explore texture-related factors in AR, a series of experiments were conducted to investigate the effects of different texture cues on depth perception using the perceptual matching method. Findings indicate that the absolute depth error increases with decreasing contrast under black-and-white texture. Moreover, textures with higher color contrast also contribute to enhanced accuracy of depth judgments in AR. However, no significant effect of texture density on depth perception was observed. The findings serve as a theoretical reference for texture design in AR, aiding in the optimization of virtual-real registration processes.
沉浸式增强现实(AR)系统需要在虚拟物体和真实场景之间进行精确的深度注册。先前的研究强调了表面纹理在提供深度线索方面的功效,以增强各种媒体(包括真实场景、虚拟现实和 AR)的深度感知。为了弥补这一不足并进一步探索 AR 中与纹理相关的因素,我们进行了一系列实验,使用知觉匹配法研究不同纹理线索对深度知觉的影响。研究结果表明,在黑白纹理下,绝对深度误差会随着对比度的降低而增加。此外,色彩对比度较高的纹理也有助于提高 AR 深度判断的准确性。然而,纹理密度对深度知觉没有明显影响。这些发现为 AR 中的纹理设计提供了理论参考,有助于优化虚拟现实注册过程。