TY - GEN
T1 - Smooth surface reconstruction using Doo-Sabin subdivision surfaces
AU - Cheng, Fuhua
AU - Fan, Fengtao
AU - Huang, Conglin
AU - Wang, Jiaxi
AU - Lai, Shuhua
AU - Miura, Kenjiro T.
PY - 2008
Y1 - 2008
N2 - A new technique for the reconstruction of a smooth surface from a set of 3D data points is presented. The reconstructed surface is represented by an everywhere C1-continuous subdivision surface which interpolates all the given data points. The new technique consists of two major steps. First, an efficient surface reconstruction method is applied to produce a polyhedral approximation to the given data set M. A Doo-Sabin subdivision surface that smoothly passes through all the points in the given data set M is then constructed. The Doo-Sabin subdivision surface is constructed by iteratively modifying the vertices of the polyhedral approximation until a new control mesh M̄, whose Doo-Sabin subdivision surface interpolates M, is reached. This iterative process converges for meshes of any size and any topology. Therefore the surface reconstruction process is well-defined. The new technique has the advantages of both a local method and a global method, and the surface reconstruction process can reproduce special features such as edges and corners faithfully.
AB - A new technique for the reconstruction of a smooth surface from a set of 3D data points is presented. The reconstructed surface is represented by an everywhere C1-continuous subdivision surface which interpolates all the given data points. The new technique consists of two major steps. First, an efficient surface reconstruction method is applied to produce a polyhedral approximation to the given data set M. A Doo-Sabin subdivision surface that smoothly passes through all the points in the given data set M is then constructed. The Doo-Sabin subdivision surface is constructed by iteratively modifying the vertices of the polyhedral approximation until a new control mesh M̄, whose Doo-Sabin subdivision surface interpolates M, is reached. This iterative process converges for meshes of any size and any topology. Therefore the surface reconstruction process is well-defined. The new technique has the advantages of both a local method and a global method, and the surface reconstruction process can reproduce special features such as edges and corners faithfully.
UR - http://www.scopus.com/inward/record.url?scp=52249110476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52249110476&partnerID=8YFLogxK
U2 - 10.1109/GMAI.2008.15
DO - 10.1109/GMAI.2008.15
M3 - Conference contribution
AN - SCOPUS:52249110476
SN - 9780769532707
T3 - 3rd International Conference on Geometric Modeling and Imaging: Modern Techniques and Applications, GMAI
SP - 27
EP - 33
BT - 3rd International Conference on Geometric Modeling and Imaging
T2 - 3rd International Conference on Geometric Modeling and Imaging: Modern Techniques and Applications, GMAI
Y2 - 9 July 2008 through 11 July 2008
ER -