A Simplified Version of the Fast Algorithms of Brent and Salamin

2004 ◽  
pp. 553-556
Author(s):  
D. J. Newman
Keyword(s):  
Fast Algorithms

Recognition of Birds in Blurred and Illumination Images by Local Features

2017 ◽  
Vol 7 (7) ◽  
pp. 243
Author(s):  
Suresha .M ◽  
. Sandeep
Keyword(s):  
Computer Vision ◽  
Time Complexity ◽  
Feature Detection ◽  
Feature Matching ◽  
Fast Algorithms ◽  
Local Features ◽  
Experimental Demonstration ◽  
Harris Corner ◽  
Blurred Image ◽  
Blurred Images

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.

Fast Algorithms for the CMU Attached Processor System.

1986 ◽  
Author(s):  
Max D. Gunzburger
Keyword(s):  
Fast Algorithms

Fast Algorithms for Signal Processing

1990 ◽  
Author(s):  
Franklin T. Luk
Keyword(s):  
Signal Processing ◽  
Fast Algorithms
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