The Analysis of Optic Flow Without Locally Smooth Velocity

无局部平滑速度的光流分析

• 批准号: 9021081
• 负责人: George Andersen
• 金额: $ 12.88万
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1992-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9021081&HistoricalAwards=false
• 关键词: Analysis; Optic; Flow; Without; Locally

Most current models of how people perceive the 3-D shape of moving objects are capable of determining shape when only a single object is present. However, in the real world we usually encounter scenes in which many objects are moving. This research will develop a new model of the perception of the shape of objects when several objects are moving in a scene. The research will study scenes in which overlapping objects cannot be distinguished in a static view, but can be distinguished when the observer or the objects are in motion. Three sets of experiments will determine the limitations of human observers in perceiving multiple moving objects. The first set of experiments will study people's ability to determine the number of objects that are moving in a complex scene. The second set of experiments will study how people identify the shapes of objects moving in a scene. The third set of experiments will study how people judge the amount of depth between objects in the scene. These results will facilitate the three-stage development of the model. The first stage will use results from the first set of experiments to derive mathematically the number of independent objects that are moving in a computer-generated scene. The second stage will use results from the second set of experiments to describe mathematically the shape of small regions of each object. The third stage will use results from the third set of experiments to specify a quantitative value of the distance between objects in a scene. An understanding of how the visual system determines the shape and depth of multiple moving objects will have important implications for the design of computer-generated displays used to train pilots, for the development of visual aids for the blind, and for the development of robotics vision systems.

目前大多数关于人们如何感知三维形状的模型 移动物体能够确定形状时，只有一个 存在单个对象。 然而，在真实的世界中，我们通常 遇到许多物体在移动的场景。 本研究 将开发一种新的模型， 当多个对象在场景中移动时。 研究 将研究重叠物体不能被 在静态视图中可以区分，但在 观察者或物体在运动。 三组实验 将决定人类观察者在感知 多个移动物体。 第一组实验将研究 人们判断物体数量的能力 在复杂的场景中移动。 第二组实验将 研究人们如何识别物体的形状， 现场 第三组实验将研究人们如何判断 场景中对象之间的深度。 这些结果 将有助于模型的三阶段开发。 的 第一阶段将使用第一组实验的结果， 从数学上推导出独立对象的数量， 在计算机生成的场景中移动。 第二阶段将使用 第二组实验的结果描述了 从数学上讲，每个物体的小区域的形状。 的 第三阶段将使用第三组实验的结果， 指定对象之间的距离的定量值， 现场 理解视觉系统如何决定形状 多个移动物体的深度和距离 对计算机生成的显示器设计的影响 培训飞行员，开发视觉辅助工具， 盲人，以及机器人视觉系统的发展。