Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Geometric Algebra: A Computational Framework for Geometrical Applications (Part 2)
IEEE Computer Graphics and Applications
Pose Estimation in Conformal Geometric Algebra Part I: The Stratification of Mathematical Spaces
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Applications of conformal geometric algebra in computer vision and graphics
IWMM'04/GIAE'04 Proceedings of the 6th international conference on Computer Algebra and Geometric Algebra with Applications
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This paper is about real-time refinement of the 3D positions of a large number of stationary point-targets from a sequence of 2D images which are taken by a hand-held, calibrated camera group. To cope with the large data quantity arriving rapidly, an efficient iterative algorithm was developed. The problem and solution are expressed entirely within the computational framework of conformal geometric algebra. The iterative solution requires a pose estimation step of which two strategies are investigated. Experiments are performed to evaluate the algorithm based on synthetic and real data.