Abstract
In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction. We have used PVC tubes of several diameters and lengths that will let us evaluate the accuracy of our 3D reconstruction. In order to calibrate the camera we have used a corner detector. Also we have used Optical Flow techniques to follow the points through the images going and going back. We describe two general techniques to extract a sequence of corresponding points from multiple views of an object. The resulting sequence of points will be used later to reconstruct a set of 3D points representing the object surfaces on the scene. We have made the 3D reconstruction choosing by chance a couple of images and we have calculated the projection error. After several repetitions, we have found the best 3D location for the point.
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Álvarez, L., Baños, K., Cuenca, C., Esclarín, J., Sánchez, J. (2003). 3D Reconstruction from a Vascular Tree Model. In: Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST 2003. EUROCAST 2003. Lecture Notes in Computer Science, vol 2809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45210-2_56
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DOI: https://doi.org/10.1007/978-3-540-45210-2_56
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