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
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