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» Local Invariant Feature Detectors: A Survey
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FTCGV
2007
104views more  FTCGV 2007»
13 years 4 months ago
Local Invariant Feature Detectors: A Survey
In this survey, we give an overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are. We be...
Tinne Tuytelaars, Krystian Mikolajczyk
ISVC
2010
Springer
13 years 3 months ago
Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
ICCV
2005
IEEE
14 years 6 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
ICVS
2009
Springer
13 years 11 months ago
Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems
Abstract. We investigate the suitability of different local feature detectors for the task of automatic image orientation under different scene texturings. Building on an existin...
Timo Dickscheid, Wolfgang Förstner
ACCV
2006
Springer
13 years 11 months ago
Biologically Motivated Perceptual Feature: Generalized Robust Invariant Feature
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
Sungho Kim, In-So Kweon