Multiple view geometry in computer vision
Multiple view geometry in computer vision
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Programmable Stream Processors
Computer
Structure from Motion Using Sequential Monte Carlo Methods
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
GPU Gems 2: Programming Techniques for High-Performance Graphics and General-Purpose Computation (Gpu Gems)
Multiple View Geometry and the L_"-norm
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
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Traditionally triangulating 3D points from image features is a complex task that involves non-linear optimization techniques that are computationally very expensive. This work proposes an algorithm based on Monte Carlo simulations that fits well on the graphics hardware and can perform the triangulation in real time. Results are compared against the well known Levenberg-Mardquart using real video sequences, showing that it achieves the same precision but in much less time.