Title: | Camera calibration using neural networks |
Authors: | Mendonça, Márcio da Silva, Ivan N. Castanho, José E. C. |
Citation: | WSCG '2002: Posters: The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2002, 4.-8. February 2002 Plzeň, p. 61-64. |
Issue Date: | 2002 |
Publisher: | UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2002/Papers_2002/F47.pdf http://hdl.handle.net/11025/6082 |
ISBN: | 80-903100-0-1 |
Keywords: | počítačové vidění;kalibrace kamery;neuronové sítě;stereofonní vidění |
Keywords in different language: | computer vision;camera calibration;neural networks;stereo vision |
Abstract: | This work presents a procedure for camera calibration using artificial neural networks of the type back propagation perceptron. Camera calibration is employed in computer vision for pose determination and it requires a solution of non-linear system of equations. By employing neural network, it becomes unnecessary to know the parameters of the cameras, such as focus, distortions besides the geometry of the system. Camera simulations and real experiments are used to demonstrate and evaluate the procedure. |
Rights: | © UNION Agency |
Appears in Collections: | WSCG '2002: Posters |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/6082
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