Contour-based surface reconstruction using MPU implicit models Export

@article{citeulike:1458686, abstract = {This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that make up the contours as points in and employs multi-level partition of unity (MPU) implicit models to create a surface that approximately fits to the 3D points. Since MPU implicit models additionally require surface normal information at each point, an algorithm that estimates normals from the contour data is also described. Contour data frequently contains noise from the scanning and delineation process. MPU implicit models provide a superior approach to the problem of contour-based surface reconstruction, especially in the presence of noise, because they are based on adaptive implicit functions that locally approximate the points within a controllable error bound. We demonstrate the effectiveness of our technique with a number of example datasets, providing images and error statistics generated from our results.}, author = {Braude, Ilya and Marker, Jeffrey and Museth, Ken and Nissanov, Jonathan and Breen, David}, citeulike-article-id = {1458686}, citeulike-linkout-0 = {http://www.sciencedirect.com/science/article/B6WG3-4MJS05J-1/2/7b355b6bd4489dcee93d84568a30ff56}, journal = {Graphical Models}, keywords = {3d, digitizing, geometry, graphics, implicit, plantgl, pointset, reconstruction, surface, topological, vision}, month = {March}, number = {2}, pages = {139--157}, posted-at = {2007-07-16 10:51:14}, priority = {2}, title = {Contour-based surface reconstruction using MPU implicit models}, url = {http://www.sciencedirect.com/science/article/B6WG3-4MJS05J-1/2/7b355b6bd4489dcee93d84568a30ff56}, volume = {69}, year = {2007} }

TY - JOUR ID - citeulike:1458686 L3 - citeulike-article-id:1458686 N2 - This paper presents a technique for creating a smooth, closed surface from a set of 2D contours, which have been extracted from a 3D scan. The technique interprets the pixels that make up the contours as points in and employs multi-level partition of unity (MPU) implicit models to create a surface that approximately fits to the 3D points. Since MPU implicit models additionally require surface normal information at each point, an algorithm that estimates normals from the contour data is also described. Contour data frequently contains noise from the scanning and delineation process. MPU implicit models provide a superior approach to the problem of contour-based surface reconstruction, especially in the presence of noise, because they are based on adaptive implicit functions that locally approximate the points within a controllable error bound. We demonstrate the effectiveness of our technique with a number of example datasets, providing images and error statistics generated from our results. IS - 2 JF - Graphical Models EP - 157 TI - Contour-based surface reconstruction using MPU implicit models VL - 69 SP - 139 KW - 3d KW - digitizing KW - geometry KW - graphics KW - implicit KW - plantgl KW - pointset KW - reconstruction KW - surface KW - topological KW - vision AU - Braude, Ilya AU - Marker, Jeffrey AU - Museth, Ken AU - Nissanov, Jonathan AU - Breen, David PY - 2007/03// UR - http://www.sciencedirect.com/science/article/B6WG3-4MJS05J-1/2/7b355b6bd4489dcee93d84568a30ff56 ER -