SHAPE REPRESENTATION AND MULTIPLE DEPTH CUES

形状表示和多深度提示

• 批准号: 3265505
• 负责人: MICHAEL S LANDY
• 金额: $ 11.73万
• 依托单位: NEW YORK UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-08-01 至 1995-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3265505
• 关键词: cues; human subject; mathematical model; neural information processing; psychophysics; vision tests; visual depth perception; visual stimulus

DESCRIPTION (Investigator's Abstract): Biological visual systems make use of multiple depth cues including occlusion, texture, perspective, motion parallax, disparity, shading, and so on. The first of three themes that guide the work proposed here is that an ideal depth observer is sensitive to the quality of information available from different depth cues in a particular scene. The second theme is that the ideal depth observer is sensitive also to the logical type of information (in a measurement-theoretic sense) available from different depth cues. The investigators will argue that depth information of different types must be promoted to a common type before being combined, and this process of promotion may explain many observed depth cue interactions. The third theme concerns the veridicality of stimuli (how closely they resemble 'real world' scenes).If an ideal depth observer is sensitive to the quality of information available from different depth cues, then the use of impoverished or distorted depth stimuli can in itself alter the course of depth processing. The experimental work proposed will make use of hardware and software capable of generating highly realistic, controllable viewing conditions involving large displays, observer motion, and accurately modeled scene and surface properties. The experimental methods used are based on perturbation analysis methods that permit analysis of a system that can potentially react to distortions and inconsistencies in stimuli. The proposed research consists of four major tasks. (1) The investigators will test the general applicability of a particular model of cue combination, the linear model, which the investigators have previously demonstrated for combinations of texture, motion and stereo. This will involve estimation of depth using additional depth cues as well as applications to other tasks including determination of absolute spatial location and 2D feature localization. (2) The investigators will examine whether the human depth combination rule is statistically robust in the sense of discounting cues that indicate depth values discrepant from other cues. (3) Exploration of the time course and limits of cue calibration for absolute depth will be carried out using rich 3D displays and an open-loop pointing task. (4) Experiments will probe the forms of depth representation used by human observers.

描述（研究者摘要）：生物视觉系统使 使用多种深度线索，包括遮挡、纹理、透视、 运动视差、视差、阴影等。 三个中的第一个 指导此处提出的工作的主题是理想的深度观察者 对不同深度的可用信息的质量很敏感 特定场景中的线索。 第二个主题是理想的深度 观察者对信息的逻辑类型也很敏感（在 测量理论意义）可以从不同的深度线索中获得。 这 调查人员会争辩说，不同类型的深度信息必须 在组合之前先提升为普通类型，这个过程 提升可以解释许多观察到的深度线索相互作用。 第三个 主题涉及刺激的真实性（它们有多相似） “真实世界”场景）。如果理想的深度观察者对 从不同深度线索获得的信息质量，然后使用 贫乏或扭曲的深度刺激本身就可以改变进程 的深度加工。 拟议的实验工作将利用硬件和软件 能够生成高度真实、可控的观看条件 涉及大型显示器、观察者运动和精确建模的场景 和表面特性。 所使用的实验方法基于 扰动分析方法允许对系统进行分析 潜在地对刺激的扭曲和不一致做出反应。 这 拟议的研究包括四项主要任务。 （一）调查人员 将测试特定提示模型的一般适用性 组合，线性模型，研究人员之前已经 演示了纹理、运动和立体的组合。 这将 涉及使用额外的深度线索来估计深度以及 在其他任务中的应用，包括确定绝对空间 位置和 2D 特征定位。 （二）调查人员将进行审查 人类深度组合规则在统计上是否稳健 折扣提示的感觉表明深度值与 其他线索。 (3)线索的时间进程和界限探索 绝对深度的校准将使用丰富的 3D 显示器进行 和一个开环指向任务。 (4) 实验将探讨 人类观察者使用的深度表示。