RUI: Collaborative Research: Spatial and Temporal Interpo-lation in Visual Object Perception

人们能够成功地感知物体和边界，尽管这种感知所基于的视觉输入在空间和时间上都是碎片化的。例如，尽管物体被其他物体遮挡了很多，而且每当物体或观察者移动时，投射在视网膜上的图案会不断变化，但人们通常可以识别出完整的边界和形状。在其他情况下，人们在缺乏局部视觉信息的情况下感知边界，被称为错觉轮廓和透明现象。这个项目将解决边界插值的各种情况；它将测试和完善一个提议的统一理论，并将该理论从静态、二维显示扩展到三维情况，以及从运动传递的信息中获得边界的情况。该项目还将研究评估边界感知的收敛方法，包括感知报告和客观绩效测量。这项研究，除了对理解人类对物体的感知有意义外，还将有助于构建计算机视觉系统中的物体和边界检测方法。

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.