Local feature-based matching methods have witnessed great success in the context of multiple view matching,
object recognition and video content analysis. Naturally, one would like to (1) investigate the merits
and shortcomings of feature-based approaches; and (2) to extend such approaches to general object classes
matching problems. The present paper illustrates our research attempts along this direction. The proposed
feature-based method is empirically justified, and demonstrates excellent robustness against intra-class variation,
structure variation, scale change, rotation and background clutter.