Feature extraction from faces using deformable templates
International Journal of Computer Vision
Efficient deformable template detection and localization without user initialization
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
A Probabilistic Approach to Object Recognition Using Local Photometry and Global Geometry
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Spatial Priors for Part-Based Recognition Using Statistical Models
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
POP: Patchwork of Parts Models for Object Recognition
International Journal of Computer Vision
The Representation and Matching of Pictorial Structures
IEEE Transactions on Computers
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
Efficient Subwindow Search: A Branch and Bound Framework for Object Localization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to find occlusion regions
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A segmentation-aware object detection model with occlusion handling
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Occlusion boundary detection and figure/ground assignment from optical flow
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Scene recognition and weakly supervised object localization with deformable part-based models
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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We propose a theoretical construct coined nested pictorial structure to represent an object by parts that are recursively nested. Three innovative ideas are proposed: First, the nested pictorial structure finds a part configuration that is allowed to be deformed in geometric arrangement, while being confined to be topologically nested. Second, we define nested features which lend themselves to better, more detailed accounting of pixel data cost and describe occlusion in a principled way. Third, we develop the concept of constrained distance transform, a variation of the generalized distance transform, to guarantee the topological nesting relations and to further enforce that parts have no overlap with each other. We show that matching an optimal nested pictorial structure of K parts on an image of N pixels takes O(NK) time using dynamic programming and constrained distance transform. In our MATLAB/C++ implementation, it takes less than 0.1 seconds to do the global optimal matching when K=10 and N=400 ×400. We demonstrate the usefulness of nested pictorial structures in the matching of objects of nested patterns, objects in occlusion, and objects that live in a context.