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» Efficient object category recognition using classemes
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ICCV
2005
IEEE
14 years 10 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
3DIM
2001
IEEE
13 years 11 months ago
Robust Recognition and Pose Determination of 3-D Objects Using Range Images in Eigenspace
In this paper we propose a robust method for recognition and pose determination of 3-D objects using range images in the eigenspace approach. Instead of computing the coefficients...
Danijel Skocaj, Ales Leonardis
ICCV
2009
IEEE
1335views Computer Vision» more  ICCV 2009»
15 years 29 days ago
Top-Down Color Attention for Object Recognition
Generally the bag-of-words based image representation follows a bottom-up paradigm. The subsequent stages of the process: feature detection, feature description, vocabulary cons...
Fahad Shahbaz Khan, Joost van de Weijer, Maria Van...
BMVC
2010
13 years 6 months ago
Weakly Supervised Object Recognition and Localization with Invariant High Order Features
High order features have been proposed to incorporate geometrical information into the "bag of feature" representation. We propose algorithms to perform fast weakly supe...
Yimeng Zhang, Tsuhan Chen
CVPR
2007
IEEE
14 years 10 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan