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» Image Categorization Using Local Probabilistic Descriptors
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CVPR
2004
IEEE
14 years 9 months ago
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors
Stable local feature detection and representation is a fundamental component of many image registration and object recognition algorithms. Mikolajczyk and Schmid [14] recently eva...
Yan Ke, Rahul Sukthankar
EPIA
2009
Springer
14 years 2 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
CVPR
2011
IEEE
1838views Computer Vision» more  CVPR 2011»
13 years 5 months ago
Reconstructing an image from its local descriptors
This paper shows that an image can be approximately reconstructed based on the output of a blackbox local description software such as those classically used for image indexing. Ou...
Philippe Weinzaepfel, Hervé Jégou and Patrick Pe...
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
Pedro Quelhas, Jean-Marc Odobez
ICIP
2009
IEEE
14 years 8 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...