Understanding the Dynamics of 3D Shape Appearance

当一个单目观察者在3D世界中移动时， 它们的几何形状会随着观察者的Vantage而改变 点 本项目致力于定量描述和 模拟运动和引起的变化之间的关系， 3D形状的外观。 因为运动是一个积分 作为信息收集和处理过程的一部分， 研究人员正在开发一种统一的时空方法， 3D对象表示和中级运动 基于动态模型的3D物体识别的描述。 到 将对象的动态外观显式建模为 视点移动时，该方法使用“方面空间”， 图像平面和视点空间的叉积。 新的3D 对象表示法是在这一领域发展起来的， 多维空间，包括asp和rim外观 表示. 这些表征描述了如何可见， 投影形状的几何特征可能会随着时间的推移而改变， 自我运动或物体运动。 补充这项工作的动态 以观众为中心的陈述，研究还将得出 运动的中间级运动描述 在对象之前的时空图像体积中的特征 识别和描述。 将制定方法， 包括时空的中间级运动描述 表面流和流线检测，分割 时空表面，以及诸如 循环运动和T形连接运动。

As a monocular observer moves in a 3D world, the parts which can be seen and their geometry change with the observer's vantage point. This project undertakes to quantitatively describe and model the relationships between motion and the induced change in the appearance of 3D shape. Because motion is such an integral part of this information gathering and processing process, the investigators are developing a uniform spatiotemporal approach to 3D object representation and intermediate-level motion description for dynamic model-based 3D object recognition. To model explicitly the dynamic appearance of objects as the viewpoint moves, the approach uses "aspect space" which is the cross product of the image plane and viewpoint space. New 3D object representations are being developed in this multidimensional space, including the asp and the rim appearance representation. These representations describe how visible, geometric features of projected shape can change over time due to egomotion or object motion. Complementing this work on dynamic viewer-centered representations, the research will also derive intermediate-level motion descriptions from the motion of features in spatiotemporal image volumes prior to object recognition and description. Methods will be developed for intermediate-level motion description including spatiotemporal surface flow and flow line detection, segmentation of spatiotemporal surfaces, and the detection of properties such as cyclic motion and T-junction motion.