Mapping virtual objects into real scene
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Camera calibration based on receptive fields
Pattern Recognition
Automatic surface roughing with 3D machine vision and cooperative robot control
Robotics and Autonomous Systems
Computer Vision and Image Understanding
A comparative study on some navigation schemes of a real robot tackling moving obstacles
Robotics and Computer-Integrated Manufacturing
Monocular point based pose estimation of artificial markers by using evolutionary computing
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Neurovision with resilient neural networks
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
An evolutionary approach for biclustering of gene expression data
International Journal of Bio-Inspired Computation
Implicit camera calibration by using resilient neural networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Robust Range Finder Through a Laser Pointer and a Webcam
Electronic Notes in Theoretical Computer Science (ENTCS)
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We present an approach based on genetic algorithms for performing camera calibration. Contrary to the classical nonlinear photogrammetric approach, the proposed technique can correctly find the near-optimal solution without the need of initial guesses (with only very loose parameter bounds) and with a minimum number of control points (7 points). Results from our extensive study using both synthetic and real image data as well as performance comparison with Tsai's procedure (1987) demonstrate the excellent performance of the proposed technique in terms of convergence, accuracy, and robustness