Title
Full Quadrant Approximations for the Arctangent Function [Tips and Tricks]
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.
Year
DOI
Venue
2013
10.1109/MSP.2012.2219677
Signal Processing Magazine, IEEE
Keywords
Field
DocType
approximation theory,computer vision,object recognition,arctangent function,computer vision field,full quadrant approximations,object recognition,third order proposed function
Quadrant (instrument),Computer vision,Four quadrants,Computer science,Third order,Approximation theory,Theoretical computer science,Artificial intelligence,Rational function,atan2,Inverse trigonometric functions,Cognitive neuroscience of visual object recognition
Journal
Volume
Issue
ISSN
30
1
1053-5888
Citations 
PageRank 
References 
6
0.61
3
Authors
3
Name
Order
Citations
PageRank
Xavier Gironés160.61
Carme Julià2586.78
Domenec Puig333254.33