Matching of Complex Scenes Based on Constrained Clustering

Contents

This paper presents an algorithm and a software application for matching complex scenes in consumer image collections. By applying appropriate constraints to detected keypoint matches between a target and reference image, complex scenes from users’ collections can be matched with very good precision. Experimental results confirm the effectiveness of this approach. The method can be further enhanced to retrieve similar scenes from different users by incorporating event information.