HLD: A robust descriptor for line matching
Line matching plays an important role in many applications, such as image registration, 3D reconstruction, object recognition and video understanding. However, compared with other features(such as point, region) matching, it has made little progress in recent years. In this paper, we investigate the problem of matching line segments automatically only from their neighborhood appearance, without any constraints or priori knowledge. A novel line descriptor called HLD descriptor is proposed for this purpose, which is constructed by the following three steps: (1) Line support region(LSR) is defined, then divided into a series of overlapped sub-regions with the same size; (2) Line description matrix (DM) is formed by characterizing each sub-region into a vector; (3) HLD descriptor is built by computing mean and standard deviation of DM column vectors. Experimental results show that HLD descriptor is highly distinctive and very robust for line matching on real images.
Zhiheng Wang Hongmin Liu Fuchao Wu
School of Computer Science and Technology Henan Polytechnic University Jiaozuo, China Institute of Automation Chinese Academy of Sciences Beijing, China
国际会议
黄山
英文
128-133
2009-08-19（万方平台首次上网日期，不代表论文的发表时间）