Object matching algorithms using robust Hausdorff distance measures 论文
1999IEEE Transactions on Image Processing引用 264
Advanced Image and Video Retrieval TechniquesRobotics and Sensor-Based LocalizationData Management and Algorithms
详细信息
- 发表期刊/会议
- IEEE Transactions on Image Processing
- 发表日期
- 1999-03-01
- 发表年份
- 1999
关键词
Advanced Image and Video Retrieval TechniquesRobotics and Sensor-Based LocalizationData Management and Algorithms
摘要
A Hausdorff distance (HD) is one of commonly used measures for object matching. This work analyzes the conventional HD measures and proposes two robust HD measures based on m-estimation and least trimmed square (LTS) which are more efficient than the conventional HD measures. By computer simulation, the matching performance of the conventional and proposed HD measures is compared with synthetic and real images.