POP: Patchwork of Parts Models for Object Recognition
- 23 January 2007
- journal article
- Published by Springer Nature in International Journal of Computer Vision
- Vol. 75 (2) , 267-282
- https://doi.org/10.1007/s11263-006-0033-9
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Spatial Priors for Part-Based Recognition Using Statistical ModelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Combining Top-Down and Bottom-Up SegmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A coarse-to-fine strategy for multiclass shape detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- A Bayesian approach to unsupervised one-shot learning of object categoriesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Shape matching and object recognition using shape contextsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Computational Model for Visual SelectionNeural Computation, 1999
- Neural network-based face detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- A probabilistic approach to object recognition using local photometry and global geometryPublished by Springer Nature ,1998
- Shape Quantization and Recognition with Randomized TreesNeural Computation, 1997
- The Nature of Statistical Learning TheoryPublished by Springer Nature ,1995