Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition
B. Höferlin, and G. Heidemann. WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, (2010)
Description
Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition
%0 Journal Article
%1 8420eb81a54347e58f3710f484852bb9
%A Höferlin, Benjamin
%A Heidemann, Gunther
%D 2010
%J WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision
%K 2010 spp-1335-video vis(us) vis-is visus:heidemgr visus:hoeferbn
%T Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition
%V 2010
@article{8420eb81a54347e58f3710f484852bb9,
added-at = {2017-10-25T15:48:35.000+0200},
author = {Höferlin, Benjamin and Heidemann, Gunther},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2fd63a005f0b010fdbac1cb8e6121be61/mueller},
description = {Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition},
interhash = {9f6d0750823bdc97010075acb195ef9c},
intrahash = {fd63a005f0b010fdbac1cb8e6121be61},
journal = {WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision },
keywords = {2010 spp-1335-video vis(us) vis-is visus:heidemgr visus:hoeferbn},
timestamp = {2023-06-02T13:33:03.000+0200},
title = {Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition},
volume = 2010,
year = 2010
}