Collaborative Research: Spatial and Temporal Interpolation in Visual Object Perception

人们能够成功地感知物体和边界， 尽管事实上，视觉输入的感知是 在空间和时间上都是不完整的。 比如说， 尽管物体被其他物体遮挡了很多， 投射在视网膜上的图案会改变 当物体或观察者移动时，人们可以 通常检测完整的边界和形状。 还有其他 人们在缺乏当地文化的情况下 视觉信息，称为虚幻的轮廓和透明度 现象。 本项目将解决各种边界问题， 插值;它将测试和完善提出的统一理论 并将这一理论从静态的二维显示扩展到 三维的情况下，并在其中边界是 从运动传递的信息中获得的。 该项目将 也研究收敛的方法来评估边界感知， 包括感性报告和客观表现 措施 这项研究，除了它的影响， 了解人类对物体的感知，将有助于 计算机中目标和边界检测方法的构造 视觉系统

People are able to perceive objects and boundaries successfully, despite the fact that the visual input on which that perception is based is fragmentary across both space and time. For instance, despite the fact that objects are occluded a great deal by other objects and that patterns projected on the retina change continually whenever objects or observers move, people can ordinarily detect complete boundaries and shapes. There are other cases in which people perceive boundaries in the absence of local visual information, known as illusory contours and transparency phenomena. This project will address the various cases of boundary interpolation; it will test and refine a proposed unifying theory and extend that theory from static, two-dimensional displays to the three-dimensional case and to cases in which boundaries are obtained from information conveyed by motion. The project will also investigate convergent methods to assess boundary perception, including both perceptual report and objective performance measures. This research, in addition to its implications for understanding human perception of objects, will aid in the construction of object and boundary detection methods in computer vision systems.