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A New Geometric Approach for Faster Solving the Perspective-Three-Point Problem

Andreas Masselli, Andreas Zell

Year
2014
Citations
25

Abstract

We present a fast and simple method for solving the perspective-three-point (P3P) problem. The problem is specified as finding the position and orientation of a camera from a single image, showing three points, while the position of the corresponding points in the world is known. Our approach is based on a new geometric parametrization, yielding simpler algebraic terms to compute, compared to all state-of-the-art methods. It is therefore faster and more accurate, since calculations are saved and rounding errors appear less. The method also showed to be robust against noise. A special case of this method has been successfully applied to a robotics scenario. However, the method is feasible for all applications that utilize P3P problem solvers.

Keywords

RoundingPerspective (graphical)Point (geometry)Parametrization (atmospheric modeling)Computer sciencePosition (finance)RoboticsOrientation (vector space)Artificial intelligenceSimple (philosophy)

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