Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching

arXiv:2305.00194v5 Announce Type: replace
Abstract: Feature matching is a crucial technique in computer vision. A unified perspective for this task is to treat it as a searching problem, aiming at an efficient search strategy to narrow the search space to point matches between images. One of the key aspects of search strategy is the search space, which in current approaches is not carefully defined, resulting in limited matching accuracy. This paper, thus, pays attention to the search space and proposes …

abstract arxiv computer computer vision cs.cv feature framework hierarchical images narrow perspective search searching semantic space strategy type vision