关键词: 图像匹配, 特征点筛选, 稳定性准则, 唯一性准则, 显著性准则

Abstract:

Aiming at the problem that the feature points extracted by traditional feature detection algorithms are poorly stable and not unique, resulting in excessive mismatch rate. Three criteria for selecting feature points are proposed：stability, uniqueness and significance criterion. The stability criterion guarantees to select robust and stable feature points. The uniqueness criterion rejects feature points with nearly duplicate features. The significance criterion preserves the points with salient feature information. By eliminating the feature points that do not meet the three criteria, it not only reduces the computation time of descriptors, but also improves the matching accuracy rate. Finally, the feature point selection criteria are applied to common matching algorithms. The experimental results show that the proposed feature point selecting method not only ensures the stability, uniqueness and significance of feature points, but also greatly improves the matching accuracy rate, repetition rate and matching speed.

Key words: image matching, feature points selection, stability scriterion, uniqueness criterion, significance criterion