SPATIAL AND TEMPORAL INTEGRATION IN OBJECT PERCEPTION

描述：该项目包括对视觉的广泛调查 物体和表面的感知。人类的许多思想和行为都是有组织的 围绕着对物体的感知和表现。在这些基本要素中， 物体感知的悬而未决的问题是单元形成：我们如何获得 对三维世界中连接的对象的描述，尽管 它们的轮廓和表面的中断--跨越空间和时间-- 投射到眼睛上？回答这些关于单位组成和 研究对象知觉的相关方面是本研究的目的。 使用客观操作任务与正常人进行心理物理实验 成人观察者被用来探测信息(刺激关系) 所涉及的、所形成的表征和加工特点 人类对物体的感知。数据被用来构建几何和 等高线和表面关系的信息处理模型 导致对连接的对象的感知，以及向模型提供 感知背后的神经活动。 在先前工作的基础上，本项目扩展了经验和 对较少研究的三维领域的理论努力 物体构形和动态(运动携带)信息之间的关系。 特别令人兴奋的是，最近的工作中提出，共同原则 可以描述二维和三维的单位形成，以及动态视觉。 这些努力将导致对基本认知的更好理解 和行为过程--那些实现对象表示的过程， 曲面和场景。结果将对以下方面产生多方面的影响 了解正常和受损的人体功能，用于构建人工 用于探测人的神经机制的(包括机器人)视觉系统 感知力。

DESCRIPTION: This project comprises a broad-based investigation into visual object and surface perception. Much of human thought and behavior is organized around the perception and representation of objects. Among the fundamental, unsolved problems of object perception is unit formation: How do we obtain descriptions of connected objects in the three-dimensional world despite interruptions - across space and time-of their contours and surfaces in their projections to the eyes? Answering these questions of unit formation and related aspects of object perception is the goal of the research. Psychophysical experiments using objective performance tasks with normal, human adult observers are used to probe the information (stimulus relationships) involved, the representations formed and the processing characteristics of human object perception. The data are used to construct geometric and information-processing models of the contour and surface relationships that lead to perception of connected objects, as well as to inform models of the neural activity underlying perception. Building on prior work, the current project extends the empirical and theoretical efforts into the less well-studied domains of three-dimensional relationships in object formation and dynamic (motion-carried) information. Particularly exciting is the suggestion in recent work that common principles may describe unit formation in two and three dimensions, and dynamic vision. These efforts will lead toward a better understanding of fundamental cognitive and behavioral processes - those that achieve representations of objects, surfaces and scenes. The results will have manifold implications for understanding normal and impaired human function, for constructing artificial (including robotic) vision systems for probing the neural mechanisms of perception.