Please use this identifier to cite or link to this item:
Title: 3D reconstruction from a vascular tree model
Authors: Álvarez, Luis 
Baños, Karina 
Cuenca Hernández, Carmelo 
Esclarín, Julio 
Sanchez, J 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120304 Inteligencia artificial
120326 Simulación
Keywords: Optical-Flow
Issue Date: 2003
Journal: Lecture Notes in Computer Science 
Conference: 9th International Workshop on Computer Aided Systems Theory 
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.
ISBN: 3540202218
ISSN: 0302-9743
DOI: 10.1007/978-3-540-45210-2_56
Source: Moreno-Díaz R., Pichler F. (eds) Computer Aided Systems Theory - EUROCAST 2003. EUROCAST 2003. Lecture Notes in Computer Science, vol 2809. Springer, Berlin, Heidelberg
Rights: by-nc-nd
Appears in Collections:Artículos
Adobe PDF (217,56 kB)
Show full item record

Page view(s)

checked on Sep 30, 2023


checked on Sep 30, 2023

Google ScholarTM




Export metadata

Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.