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CVPR
2007
IEEE
15 years 11 months ago
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar
ICPR
2010
IEEE
15 years 3 months ago
Pairwise Features for Human Action Recognition
Existing action recognition approaches mainly rely on the discriminative power of individual local descriptors extracted from spatio-temporal interest points (STIP), while the geo...
Anh Phuong Ta, Christian Wolf, Guillaume Lavoue, A...
CVPR
2010
IEEE
1248views Computer Vision» more  CVPR 2010»
15 years 6 months ago
Food Recognition Using Statistics of Pairwise Local Features
Food recognition is difficult because food items are deformable objects that exhibit significant variations in appearance. We believe the key to recognizing food is to exploit the...
Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukth...
ECCV
2010
Springer
15 years 2 months ago
Representing Pairwise Spatial and Temporal Relations for Action Recognition
The popular bag-of-words paradigm for action recognition tasks is based on building histograms of quantized features, typically at the cost of discarding all information about rela...
KES
2007
Springer
15 years 3 months ago
Face Recognition Based on 2D and 3D Features
This paper presents a completly automated face recognition system integrating both two dimensional (texture) and three dimensional (shape) features. We introduce a novel fusion str...
Stefano Arca, Raffaella Lanzarotti, Giuseppe Lipor...