SPATIAL AND TEMPORAL INTEGRATION IN OBJECT PERCEPTION

描述：该项目包括一个基础广泛的调查视觉 物体和表面知觉。人类的许多思想和行为都是有组织的 围绕着物体的感知和表现。在基本的， 物体感知的未解决问题是单位形成：我们如何获得 在三维世界中的连接对象的描述，尽管 中断-跨越空间和时间-他们的轮廓和表面在他们的 眼睛的投影？讨论这些单位形成的问题， 对象感知的相关方面是本研究的目标。 心理物理学实验，使用正常人的客观表现任务 成年观察者被用来探测信息（刺激关系） 所涉及的，形成的表征和加工特征， 人类物体感知这些数据用于构建几何和 轮廓和表面关系的信息处理模型， 导致感知连接的对象，以及通知模型的 感知背后的神经活动 在以前工作的基础上，目前的项目扩展了经验和 理论上的努力，较少研究的三维领域， 对象形成和动态（运动携带）信息的关系。 特别令人兴奋的是，最近的研究表明， 可以描述二维和三维的单元形成，以及动态视觉。 这些努力将有助于更好地理解基本的认知 和行为过程-那些实现对象的表征， 表面和场景。这些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 （包括机器人）视觉系统，用于探测 perception.

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.