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» Surface Reconstruction of Noisy and Defective Data Sets
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RECOMB
2012
Springer
11 years 10 months ago
Simultaneous Reconstruction of Multiple Signaling Pathways via the Prize-Collecting Steiner Forest Problem
Signaling networks are essential for cells to control processes such as growth and response to stimuli. Although many “omic” data sources are available to probe signaling pathw...
Nurcan Tuncbag, Alfredo Braunstein, Andrea Pagnani...
SMI
2003
IEEE
14 years 24 days ago
Using Growing Cell Structures for Surface Reconstruction
We study the use of neural network algorithms in surface reconstruction from an unorganized point cloud, and meshing of an implicit surface. We found that for such applications, t...
Ioannis P. Ivrissimtzis, Won-Ki Jeong, Hans-Peter ...
SMI
2006
IEEE
134views Image Analysis» more  SMI 2006»
14 years 1 months ago
Evolution of T-Spline Level Sets with Distance Field Constraints for Geometry Reconstruction and Image Segmentation
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
Huaiping Yang, Matthias Fuchs, Bert Jüttler, ...
ECCV
2004
Springer
14 years 9 months ago
Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance
Abstract. We consider the problem of estimating the shape and radiance of a scene from a calibrated set of images under the assumption that the scene is Lambertian and its radiance...
Hailin Jin, Anthony J. Yezzi, Stefano Soatto
CG
2002
Springer
13 years 7 months ago
Shape reconstruction from partially missing data in modal space
To reconstruct the shape of objects from incomplete point sets or noisy images, robust and accurate reconstruction methods are required. This paper presents a physics-based approa...
Soo-Mi Choi, Myoung-Hee Kim