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» Mercer Kernels for Object Recognition with Local Features
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ICCV
2001
IEEE
16 years 6 months ago
A Gabor Feature Classifier for Face Recognition
This paper describes a novel Gabor Feature Class$er (GFC)method forface recognition. The GFC method employs an enhanced Fisher discrimination model on an augmented Gabor feature v...
Chengjun Liu, Harry Wechsler
BMVC
1998
15 years 5 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
PAMI
2012
13 years 6 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ICIAP
2007
ACM
16 years 4 months ago
Appearance-based 3D object recognition with time-invariant features
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...
Elisabetta Delponte, Nicoletta Noceti, Francesca O...
TCSV
2008
291views more  TCSV 2008»
15 years 4 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...