scholarly journals Experimental Demonstration of a SAC-OCDMA PON With Burst-Mode Reception: Local Versus Centralized Sources

2008 ◽  
Vol 26 (10) ◽  
pp. 1192-1203 ◽  
Author(s):  
Z.A. El-Sahn ◽  
B.J. Shastri ◽  
Ming Zeng ◽  
N. Kheder ◽  
D.V. Plant ◽  
...  
2008 ◽  
Vol 128 (4) ◽  
pp. 677-682 ◽  
Author(s):  
Taku Takaku ◽  
Noriyuki Iwamuro ◽  
Yoshiyuki Uchida ◽  
Ryuichi Shimada

2014 ◽  
Vol E97.B (2) ◽  
pp. 432-440 ◽  
Author(s):  
Masamichi FUJIWARA ◽  
Ken-Ichi SUZUKI ◽  
Naoto YOSHIMOTO
Keyword(s):  

Author(s):  
Suresha .M ◽  
. Sandeep

Local features are of great importance in computer vision. It performs feature detection and feature matching are two important tasks. In this paper concentrates on the problem of recognition of birds using local features. Investigation summarizes the local features SURF, FAST and HARRIS against blurred and illumination images. FAST and Harris corner algorithm have given less accuracy for blurred images. The SURF algorithm gives best result for blurred image because its identify strongest local features and time complexity is less and experimental demonstration shows that SURF algorithm is robust for blurred images and the FAST algorithms is suitable for images with illumination.


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