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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Home → Magazine Archive → September 2013 (Vol. 56, No. 9) → Visual Object Detection with Deformable Part Models → Abstract
Visual Object Detection with Deformable Part Models
By Pedro Felzenszwalb, Ross Girshick, David McAllester, Deva Ramanan
Communications of the ACM,
Vol. 56 No. 9, Pages 97-105
10.1145/2494532
![[article image]](https://cacm.acm.org/system/assets/0001/2883/082013_Knowboundaries_Visual-Object-Detection2.large.jpg?1476779487&1376946777 "yellow rose")
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