Visual Object Detection with Deformable Part Models
By Pedro Felzenszwalb, Ross Girshick, David McAllester, Deva Ramanan
Communications of the ACM,
September 2013,
Vol. 56 No. 9, Pages 97-105
10.1145/2494532 Comments
We describe a state-of-the-art system for finding objects in cluttered images. Our system is based on deformable models that represent objects using local part templates and geometric constraints on the locations of parts.
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