We study object localization problem in images, given a single hand-drawn example or a gallery of shapes as the object model. Although many shape matching algorithms have been proposed over the decades, chamfer matching remains to be among the fastest and most robust approaches in the presence of clutter. In this paper, we significantly improve the accuracy of chamfer matching while reducing th...