Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/11766
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
Fields
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.
URI: http://hdl.handle.net/10553/11766
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
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