Structure-From-Motion Based On Information At Surface Boundaries

现有的运动结构计算模型是基于单个物体内部光流或特征点对应关系的变化。这个项目研究了一种新的、基于边界的线索来确定运动和形状。概述了一种用于确定对象正在深度旋转的方法。只需要简单的定性计算，就不需要准确地确定感兴趣表面上的流动模式是如何变化的。将探索涉及边界和表面线索整合的概括。最终，该方法将扩展到其他类型的运动，如大视场摄像机的平移。为了支持这种基于边界的分析，将评估在存在流动不连续的情况下的改进的光流估计方法。提出的算法将流/表面分析与运动结构确定相结合，同时解决了以前提出的技术中的某些缺陷。这项研究的结果应该为处理视觉运动分析中涉及的重要问题提供更普遍、可靠和经济的方法。

Existing computational models of structure-from-motion are based on variations of optical flow or feature point correspondences within the interior of single objects. This project investigates a new, boundary-based cue for determining motion and shape. An approach is outlined for determining that an object is rotating in depth. Only simple, qualitative computations are required, avoiding the need to accurately determine how flow patterns are varying over the surface of interest. Generalizations involving integration of boundary and surface cues will be explored. Ultimately, the approach will be extended to other types of motion such as translation of a wide field-of-view cameras.To support this boundary-based analysis improved methods will be evaluated for estimating optical flow in the presence of flow discontinuities. The proposed algorithm integrates flow/surface analysis with the structure-from-motion determination while addressing certain deficiencies in previously proposed techniques. Results from this study should provide more general reliable, and economical methods for dealing with the important problems involved in analyzing visual motion.