Shape reconstruction from planar cross sections
Computer Vision, Graphics, and Image Processing
A triangulation algorithm from arbitrary shaped multiple planar contours
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
Digital image processing algorithms
Digital image processing algorithms
Arbitrary topology shape reconstruction from planar cross sections
Graphical Models and Image Processing
Multiresolution banded refinement to accelerate surface reconstruction from polygons
Computational Geometry: Theory and Applications - Special issue on applications and challenges
An algebraic solution to surface recovery from cross-sectional contours
Graphical Models and Image Processing
Optimal surface reconstruction from planar contours
Communications of the ACM
Conversion of complex contour line definitions into polygonal element mosaics
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Approximating complex surfaces by triangulation of contour lines
IBM Journal of Research and Development
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We reconstruct pipe-shaped objects from a set of contours, each of which is extracted from an image representing a slice sampled from 3D volume data. The contours are formed by connecting the intersection points between rays cast from a central pixel of an image slice and the boundary of the shape. The edges on the contours are classified into several types, which are exploited in triangulating the contours, thus eliminating most of the floating-point computation from the tiling. Initially, contours of lowest resolution are extracted to reconstruct a lowest-resolution object, which is refined by adding points to the contours.