Asignación del color en modelos tridimensionales

[ES] Hoy en día los sensores tridimensionales de última generación proporcionan información geométrica con un alto grado de precisión. En el proceso de construcción de un modelo digital, la información colorimétrica es añadida a través de cámaras de color, externas o integradas en el propio sensor 3D. Así, se obtiene una información completa (geometría+color) para cada toma de la escena. Sin embargo, la fusión de información de color desde distintos puntos de vista es un problema que los sistemas digitalizadores actuales no resuelven satisfactoriamente. El presente trabajo se centra en el desarrollo de algoritmos que permitan obtener modelos digitales 3D completos, dedicando especial atención al problema de integración de texturas para diferentes posiciones del sensor 3D.[EN] Nowadays, current three-dimensional sensors provide geometric information with a high degree of accuracy. The colorimetric information is provided through a color camera which can be inserted or not into the 3D sensor, so that the whole information (points + color) is available for each scan of the scene. However, the integration of color information from different scanner positions is an issue which has not been satisfactorily solved in the current digitalization systems. This work focuses on developing techniques which obtain a complete 3D digitalization (geometry + color) from different scans of the scene, paying particular attention to the texture merging.Los trabajos aquí presentados han sido financiados por el Ministerio Español de Ciencia y Tecnología (DPI2009-14024) así como por la Junta de Comunidades de Castilla La Mancha (proyecto PCI08-0052).Domínguez, V.; Chacón, R.; Adán, A. (2011). Asignación del color en modelos tridimensionales. Virtual Archaeology Review. 2(3):33-37. https://doi.org/10.4995/var.2011.4601OJS333723AGATHOS, A, FISHER, R.B. (2003): "Colour Texture Fusion of Multiple Range Images", Proceedings of Four International Conference on 3D Digital Imaging and Modelling, IEEE Computer Society 2003. pp 139-146. Canada.CALLIERI, M., CIGNONI, P, ROCCHINI,C., SCOPIGNO, R. (2003): "Weaver, an Automatic Texture Builder", Proceedings of Four International Conference on 3D Digital Imaging and Modelling. IEEE Computer Society 2003. pp 562-565. Canada.D. NULL, B., D. SINZINGER D., E. (2006):. Next Best View Algorithms for Interior and Exterior Model Acquisition. International Symposium on Visual Computing, Nevada http://dx.doi.org/10.1007/11919629_67PARK, S., GUO, X., SHIN, H., QIN, H. (2005): "Shape and Appearance Repair for Incomplete Point Surfaces", Proceedings of the 10th IEEE International Conference on Computer Vision. ICCV 2005, pp. 1260 - 1267, China.RUSINKIEWICZ, S., LEVOY, M. (2001): Efficient variant of the ICP algorithm, Proc. of 3rd International Conference on 3D Digital Imaging and Modeling, pp. 145-152, Quebec. http://dx.doi.org/10.1109/im.2001.924423VANDEN WYNGAERD, J., VAN GOOL, L. (2003): "Combining Texture and Shape for Automatic Crude Patch Registration", Proceedings of Four International Conference on 3D Digital Imaging and Modelling, IEEE Computer Society 2003. pp 179-186. Canada.VAN GOOL, L., VANDERMEULEN, D., KALBERER, G., TUYTELAARS, T., ZALESNY, A. (2002): "Modelling Shapes and textures from Images: New Frontiers", Proceeding of 1st International Symposium on 3D Data Processing Visualization and Transmission, IEEE Computer Society 2002. pp 286-294. Italia

Shape and appearance repair for incomplete point surfaces

This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can be robustly identified from noisy and defective data sets without the need of any normal or orientation information, using the method of active deformable models. The geometry and texture information of the holes can then be determined either automatically from the models ’ context, or semi-automatically with minimal users ’ intervention. The central idea for this repair process is to establish a quantitative similarity measurement among local surface patches based on their local parameterizations and curvature computation. The geometry and texture information of each hole can be completed by warping the candidate region and gluing it to the hole. The displacement for the alignment process is computed by solving a Poisson equation in 2D. Our experiments show that the unified framework, founded upon the techniques of deformable models, local parameterization, and PDE modeling, can provide a robust and elegant solution for content completion of defective, complex point surfaces. 1