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.
Conference Committee Involvement (2)
Image Processing: Machine Vision Applications III
20 January 2010 | San Jose, California, United States
Image Processing: Machine Vision Applications II
22 January 2009 | San Jose, California, United States
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