Automatic edge matching across an image sequence based on reliable points
Yixiang Tian, M. Gerke, George Vosselman, Qing Zhu · University of Twente Research Information · 2008
This paper presents a new method for matching edges across a video image sequence. The method can deal with uncalibrated images acquired with a hand held camera. Compared to previous work, the method employs geometric constraints between edges based on reliable matched points, which reduces the search space for corresponding 2D edges in the frames. The 3D edge parameters are estimated from these matched 2D edges by using the Gauss-Markoff model with constraints. End points of each 3D edge are found by analyzing the end points of the corresponding 2D edges. The results show that the developed algorithms are able to efficiently and accurately reconstruct 3D edges from image sequences.