Object matching algorithms using robust Hausdorff distance measures

Dong-Gyu Sim, Oh-Kyu Kwon, Rae-Hong Park
1999 IEEE Transactions on Image Processing  
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. Index Terms-Hausdorff distance, least trimmed square, M-estimation, object matching.
doi:10.1109/83.748897 pmid:18262885 fatcat:bjdfcgctyzbupbjzijmqvat5ha