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Logo Detection Using Pose Clustering and Momentums

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@article{IJASEIT79,
   author = {Mohammad Hadi Karimi Tafti and Shahram Rajaee and Hossein Sadeghi and Sadegh Tabatabaeifar},
   title = {Logo Detection Using Pose Clustering and Momentums},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {1},
   number = {4},
   year = {2011},
   pages = {381--385},
   keywords = {Logo Detection; Pose Clustering; Momentum; Image Processing; Corner Detection},
   abstract = {Nowadays, logo and arm detection with growing variety and number of arms in companies and countries is one of the significant topics in image processing. For logo detection there are many image processing algorithms which can be used for this purpose regard to features of the logo. In the most of recent works, images are exactly the logos, but in general, the logo can be one portion of another image or even can transform (rotate, skew, shift, …) and have more complexity. In this paper we will select Iran logo as a sample, because it has not any regular geometric form and has special complexity. In a bank of images we will try to find this logo and its position with its transformation. Images bank includes images that has not Iran logo or has Iran logo with affine transform within another pictures. Approaches that will be discussed here are pose clustering and momentum clustering. Simulation results show that this approach can be used as a suitable way for finding the existence and position of arm in this field.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=79},
   doi = {10.18517/ijaseit.1.4.79}
}

EndNote

%A Tafti, Mohammad Hadi Karimi
%A Rajaee, Shahram
%A Sadeghi, Hossein
%A Tabatabaeifar, Sadegh
%D 2011
%T Logo Detection Using Pose Clustering and Momentums
%B 2011
%9 Logo Detection; Pose Clustering; Momentum; Image Processing; Corner Detection
%! Logo Detection Using Pose Clustering and Momentums
%K Logo Detection; Pose Clustering; Momentum; Image Processing; Corner Detection
%X Nowadays, logo and arm detection with growing variety and number of arms in companies and countries is one of the significant topics in image processing. For logo detection there are many image processing algorithms which can be used for this purpose regard to features of the logo. In the most of recent works, images are exactly the logos, but in general, the logo can be one portion of another image or even can transform (rotate, skew, shift, …) and have more complexity. In this paper we will select Iran logo as a sample, because it has not any regular geometric form and has special complexity. In a bank of images we will try to find this logo and its position with its transformation. Images bank includes images that has not Iran logo or has Iran logo with affine transform within another pictures. Approaches that will be discussed here are pose clustering and momentum clustering. Simulation results show that this approach can be used as a suitable way for finding the existence and position of arm in this field.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=79
%R doi:10.18517/ijaseit.1.4.79
%J International Journal on Advanced Science, Engineering and Information Technology
%V 1
%N 4
%@ 2088-5334

IEEE

Mohammad Hadi Karimi Tafti,Shahram Rajaee,Hossein Sadeghi and Sadegh Tabatabaeifar,"Logo Detection Using Pose Clustering and Momentums," International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 4, pp. 381-385, 2011. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.1.4.79.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Tafti, Mohammad Hadi Karimi
AU  - Rajaee, Shahram
AU  - Sadeghi, Hossein
AU  - Tabatabaeifar, Sadegh
PY  - 2011
TI  - Logo Detection Using Pose Clustering and Momentums
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 1 (2011) No. 4
Y2  - 2011
SP  - 381
EP  - 385
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Logo Detection; Pose Clustering; Momentum; Image Processing; Corner Detection
N2  - Nowadays, logo and arm detection with growing variety and number of arms in companies and countries is one of the significant topics in image processing. For logo detection there are many image processing algorithms which can be used for this purpose regard to features of the logo. In the most of recent works, images are exactly the logos, but in general, the logo can be one portion of another image or even can transform (rotate, skew, shift, …) and have more complexity. In this paper we will select Iran logo as a sample, because it has not any regular geometric form and has special complexity. In a bank of images we will try to find this logo and its position with its transformation. Images bank includes images that has not Iran logo or has Iran logo with affine transform within another pictures. Approaches that will be discussed here are pose clustering and momentum clustering. Simulation results show that this approach can be used as a suitable way for finding the existence and position of arm in this field.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=79
DO  - 10.18517/ijaseit.1.4.79

RefWorks

RT Journal Article
ID 79
A1 Tafti, Mohammad Hadi Karimi
A1 Rajaee, Shahram
A1 Sadeghi, Hossein
A1 Tabatabaeifar, Sadegh
T1 Logo Detection Using Pose Clustering and Momentums
JF International Journal on Advanced Science, Engineering and Information Technology
VO 1
IS 4
YR 2011
SP 381
OP 385
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Logo Detection; Pose Clustering; Momentum; Image Processing; Corner Detection
AB Nowadays, logo and arm detection with growing variety and number of arms in companies and countries is one of the significant topics in image processing. For logo detection there are many image processing algorithms which can be used for this purpose regard to features of the logo. In the most of recent works, images are exactly the logos, but in general, the logo can be one portion of another image or even can transform (rotate, skew, shift, …) and have more complexity. In this paper we will select Iran logo as a sample, because it has not any regular geometric form and has special complexity. In a bank of images we will try to find this logo and its position with its transformation. Images bank includes images that has not Iran logo or has Iran logo with affine transform within another pictures. Approaches that will be discussed here are pose clustering and momentum clustering. Simulation results show that this approach can be used as a suitable way for finding the existence and position of arm in this field.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=79
DO  - 10.18517/ijaseit.1.4.79