课题基金 / 基金详情

Spatial and Temporal Interpolation in Visual Object Perception

Spatial and Temporal Interpolation in Visual Object Perception
视觉对象感知中的空间和时间插值
批准号:
8913707
负责人:
Philip Kellman
金额:
$10.4万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1990
资助国家:
美国
项目状态:
已结题
起止时间:
1990-03-15 至 1991-08-31

项目摘要

项目成果

Philip Kellman的其他基金

相似基金

相关文献

中文摘要
翻译
大多数视觉感知到的物体部分被其他物体遮挡;然而,在大多数情况下,人类观察者都能准确地探测到物体的统一性和边界。还有一些现象是在缺乏局部视觉信息的情况下感知边界,比如错觉轮廓和一些感知到的透明现象。在所有这些情况下,感知到的对象边界被插值到物理指定的边缘之间。这个项目将解决边界插值的各种情况,测试和改进最近提出的统一理论,更一般地试图指定插值发生的条件。具体目标包括在二维和三维显示中测试边缘插值,开发生成随机显示的方法,以及开发用于评估边界感知的各种措施,包括感知报告和非语言措施。这项工作将对理解人类对物体的感知以及计算机视觉系统中的物体和边界检测产生影响。
英文摘要
Most objects perceived visually are partly occluded by other objects; yet human observers accurately detect the unity and boundaries of objects under most circumstances. There are other phenomena in which boundaries are perceived in the the absence of local visual information, such as illusory contours and some perceived transparency phenomena. In all of these cases, perceived object boundaries are interpolated between physically- specified edges. This project will address the various cases of boundary interpolation, testing and refining a recently proposed unifying theory, and more generally attempting to specify the conditions under which interpolation occurs. Specific aims include tests of edge interpolation in both two and three- dimensional displays, development of methods for generation of random displays, and development of a variety of measures for assessing boundary perception, including both perceptual report and non-verbal measures. This work will have implications both for understanding human perception of objects and for object and boundary detection in computer vision systems.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Applying Perceptual and Adaptive Learning Technologies to Undergraduate Neuroanatomy
  • 批准号:
    2216386
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Philip Kellman
  • 依托单位:
Advancing Theory and Application in Perceptual and Adaptive Learning to Improve Community College Mathematics
  • 批准号:
    1644916
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $172.05万
  • 财政年份:
    2017
  • 负责人:
    Philip Kellman
  • 依托单位:
Adaptive Sequencing and Perceptual Learning Technologies in Mathematics and Science
  • 批准号:
    1109228
  • 项目类别:
    Standard Grant
  • 资助金额:
    $126.33万
  • 财政年份:
    2011
  • 负责人:
    Philip Kellman
  • 依托单位:
Perceptual Learning in Mathematics and Science: Structure Discovery, Fluency, and Integration
  • 批准号:
    0231826
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $165.52万
  • 财政年份:
    2003
  • 负责人:
    Philip Kellman
  • 依托单位:
海外基金