DocumentCode
2206388
Title
Free-form surface reconstruction from multiple images
Author
Shu, Chang ; Roth, Gerhard
Author_Institution
Inst. for Inf. Technol., Nat. Res. Council of Canada, Ottawa, Ont., Canada
fYear
2003
fDate
6-10 Oct. 2003
Firstpage
163
Lastpage
174
Abstract
It is widely appreciated that 3D structures may be computed from multiple 2D images of the same scene given point correspondences between images. Of greater interest, however, is the generation of surfaces that give a compact representation of the geometric model. Assuming we are dealing with smooth surfaces, we show that B-spline is a good choice for this purpose and we describe how to construct it by approximating the 3D data points. The crucial step is the parameterization of the 3D points in a 2D domain. By studying the geometric constraints of multiple views, we show that the original images can be used for parameterization. The implications of the B-spline surfaces for improving the quality of texture mapping is discussed.
Keywords
computational geometry; image matching; image reconstruction; solid modelling; splines (mathematics); surface fitting; 3D point parameterization; B-spline surface fitting; free-form surface reconstruction; geometric constraints; geometric model representation; multiple 2D images; point correspondence; texture mapping; Application software; Buildings; Cameras; Image reconstruction; Piecewise linear approximation; Spline; Surface fitting; Surface reconstruction; Surface texture; Surface treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings. Fourth International Conference on
Print_ISBN
0-7695-1991-1
Type
conf
DOI
10.1109/IM.2003.1240246
Filename
1240246
Link To Document