DocumentCode :
86972
Title :
Full Quadrant Approximations for the Arctangent Function [Tips and Tricks]
Author :
Gironés, Xavier ; Julià, Carme ; Puig, Domenec
Author_Institution :
ETSE, Univ. Rovira i Virgili, Tarragona, Spain
Volume :
30
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
130
Lastpage :
135
Abstract :
This article presents two novel full quadrant approximations for the arctangent function that are specially suitable for real-time applications. The key point of the proposed approximations is that they are valid in a full quadrant. As a result, they can be easily extended to two and four quadrants. The approximations we define are rational functions of second and third order, respectively. This article provides a comparison of the precision and performance of the proposed functions with the best state-of-the-art approximations. Results show that the third-order proposed function outperforms the existing ones in terms of both precision and performance. The second-order proposed function, on the other hand, is the most suitable one for real-time applications, since it has the highest performance. Furthermore, it attains an adequate precision for most applications in the computer vision field.
Keywords :
approximation theory; computer vision; object recognition; arctangent function; computer vision field; full quadrant approximations; object recognition; third order proposed function; Approximation methods; Computer vision; Real-time systems;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2012.2219677
Filename :
6375931
Link To Document :
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