A Case Against Kruppa's Equations for Camera Self-Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Stabilizing the Focal Length Computation for 3-D Reconstruction from Two Uncalibrated Views
International Journal of Computer Vision
A comparative study of differential evolution variants for global optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Design and implementation of a simulation system for space ad-hoc networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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In this work we propose the use of Differential Evolution as a numerical method to estimate directly the orientation and position of several views taken by a same camera. First, from two views, the camera parameters are estimated and also the other parameters (orientation and position) for both views. We can estimate 3D points in this configuration and then, in a second step, new views, and also new 3D points, are added to the initial reconstruction calculated in the first step. We tested our approach with a simulation using four views. The results clearly show the good performance of the proposed approach.