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» Image Categorization Using Local Probabilistic Descriptors
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IBPRIA
2009
Springer
14 years 10 days ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
ICPR
2004
IEEE
14 years 8 months ago
Galilean-Diagonalized Spatio-Temporal Interest Operators
Abstract. This paper presents a set of image operators for detecting regions in space-time where interesting events occur. To define such regions of interest, we compute a spatio-t...
Amir Akbarzadeh, Ivan Laptev, Tony Lindeberg
CGF
2005
99views more  CGF 2005»
13 years 7 months ago
N-Buffers for efficient depth map query
We introduce the N-buffer as a tool for multiresolution depth map representation. This neighborhood buffer encodes the value and position of local depth extrema at different scale...
Xavier Décoret
ECCV
2006
Springer
13 years 11 months ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
IJCAI
2007
13 years 9 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...