A Geometric Point Sets Pattern Matching by Motion Estimation

Abstract

We introduce a novel algorithm for solving the subpixel geometric point sets matching problem based on motion estimation. The crucial idea is to build the distance map images of discrete point sets, and use the optical flow scheme to obtain the final accurate offset. The original point sets matching problem is replaced by an image matching problem, which provides more data information and improve the matching stability.