TY  - CONF
AU  - Ivo Everts
AU  - Jan van Gemert
AU  - Theo Gevers
A2  - ECCV
PY  - 2012//
TI  - Per-patch Descriptor Selection using Surface and Scene Properties
T2  - LNCS
BT  - 12th European Conference on Computer Vision
SP  - 172
EP  - 186
VL  - 7577
IS  - VI
PB  - Springer Berlin Heidelberg
N2  - Local image descriptors are generally designed for describing all possible image patches. Such patches may be subject to complex variations in appearance due to incidental object, scene and recording conditions. Because of this, a single-best descriptor for accurate image representation under all conditions does not exist. Therefore, we propose to automatically select from a pool of descriptors the one that is best suitable based on object surface and scene properties. These properties are measured on the fly from a single image patch through a set of attributes. Attributes are input to a classifier which selects the best descriptor. Our experiments on a large dataset of colored object patches show that the proposed selection method outperforms the best single descriptor and a-priori combinations of the descriptor pool.
SN  - 0302-9743
SN  - 978-3-642-33782-6
UR  - http://dx.doi.org/10.1007/978-3-642-33783-3_13
N1  - ALTRES;ISE
ID  - Ivo Everts2012
ER  -