Structure-From-Motion Based On Information At Surface Boundaries

现有的运动恢复结构的计算模型是基于 光流或特征点对应的变化 在单个物体的内部。 该项目调查 一个新的，基于边界的线索，用于确定运动和形状。 一个 概述了一种确定物体旋转的方法 深入了解 只需要简单的定性计算， 避免了精确确定流型如何 在感兴趣的表面上变化。 概括涉及 将探索边界和表面线索的整合。 最终，该方法将扩展到其他类型的 运动，例如宽视场相机的平移。 支持这种基于边界的分析改进方法将 在存在流动的情况下评估光流 不连续性 所提出的算法集成流/表面 分析与结构从运动确定，而 解决以前提出的某些缺陷， 技术. 这项研究的结果应该提供更普遍的 可靠和经济的方法来处理重要的 涉及分析视觉运动的问题。

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.