DocumentCode :
3700182
Title :
Affine scale space for viewpoint invariant keypoint detection
Author :
Biao Zhao;Skjalg Lepsoy;Enrico Magli
Author_Institution :
Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Corso Duca degli Abruzzi, 24 - 10129, ITALY
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The research of affine scale space is to create a more general approach to the affine invariant image scale representation by modifying the corresponding Gaussian filters in order to cope with the specific change of view point. It has the purpose to retain a linear relationship with the transiting of the view point. With this linear relationship, the affine scale space could be established as a more general approach for the affine invariant image retrieval, including affine feature detection and affine feature descriptor. The scope of this paper is to discuss the accessible to the affine scale space, its performance and a practical implementation to construct it in order to cope with the high complexity brought in by the scale space and the affine adaptation.
Keywords :
"Visualization","Laplace equations","Kernel","Feature extraction","Robustness","Media","Image retrieval"
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing (MMSP), 2015 IEEE 17th International Workshop on
Type :
conf
DOI :
10.1109/MMSP.2015.7340860
Filename :
7340860
Link To Document :
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