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IJCV
2000
129views more  IJCV 2000»
13 years 5 months ago
Evaluation of Interest Point Detectors
Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this paper we introduce two evaluation criteria for inter...
Cordelia Schmid, Roger Mohr, Christian Bauckhage
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&...
3DIM
2011
IEEE
12 years 5 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
IVC
2000
188views more  IVC 2000»
13 years 5 months ago
Face recognition by statistical analysis of feature detectors
A successful face recognition system calculates similarity of face images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any stati...
Peter Kalocsai, Christoph von der Malsburg, J. Hor...
NECO
2007
68views more  NECO 2007»
13 years 4 months ago
Single Neuron Computation: From Dynamical System to Feature Detector
ll Text][Abstract] , October 18, 2006; 26 (42): 10826-10846.J. Neurosci. B. R. Conway and M. S. Livingstone Spatial and temporal properties of cone signals in alert macaque primary...
Sungho Hong, Blaise Agüera y Arcas, Adrienne ...