Abstract
This paper introduces the computer vision to 3D reconstruction of the object. A novel method is developed, which adopts the digital camera as the sensor and uses the techniques of image processing and vision calculation synthetically to realize the untouched 3D measurement. The binocular measurement theory and the camera calibration based on the neural network are also described. Finally, we give the procedures of the binocular 3D reconstruction and simulate a case with Matlab program.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lin, M., Zhao, Y., Guan, Z., Ding, F., Xu, Q., Wang, X. (2005). Binocular 3D Reconstruction Based on Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_123
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DOI: https://doi.org/10.1007/11427445_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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