Jiang Guang, Wei Yichen, Quan Long, Tsui Hung-tat, Shum Heung Yeung
Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
IEEE Trans Pattern Anal Mach Intell. 2005 Feb;27(2):271-7. doi: 10.1109/TPAMI.2005.34.
This paper presents a novel and simple method of analyzing the motion of a large image sequence captured by a calibrated outward-looking video camera moving on a circular trajectory for large-scale environment applications. Previous circular motion algorithms mainly focus on inward-looking turntable-like setups. They are not suitable for outward-looking motion where the conic trajectory of corresponding points degenerates to straight lines. The circular motion of a calibrated camera essentially has only one unknown rotation angle for each frame. The motion recovery for the entire sequence computes only one fundamental matrix of a pair of frames to extract the angular motion of the pair using Laguerre's formula and then propagates the computation of the unknown rotation angles to the other frames by tracking one point over at least three frames. Finally, a maximum-likelihood estimation is developed for the optimization of the whole sequence. Extensive experiments demonstrate the validity of the method and the feasibility of the application in image-based rendering.
本文提出了一种新颖且简单的方法，用于分析由在圆形轨迹上移动的经校准的外视摄像机捕获的大型图像序列的运动，以用于大规模环境应用。先前的圆周运动算法主要集中在内视转台式设置上。它们不适用于外视运动，因为对应点的圆锥轨迹会退化为直线。经校准的摄像机的圆周运动对于每一帧本质上只有一个未知的旋转角度。整个序列的运动恢复仅计算一对帧的一个基本矩阵，以使用拉盖尔公式提取该对帧的角运动，然后通过在至少三帧上跟踪一个点将未知旋转角度的计算传播到其他帧。最后，开发了一种最大似然估计来优化整个序列。大量实验证明了该方法的有效性以及在基于图像的渲染中的应用可行性。
