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» Dense Range Image Smoothing Using Adaptive Regularization
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ECCV
1996
Springer
14 years 7 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche
ICASSP
2010
IEEE
13 years 5 months ago
Adaptive anisotropic regularization of deformation fields for non-rigid registration using the morphon framework
Image registration is a crucial task in many applications and applied in a variety of different areas. In addition to the primary task of image alignment, the deformation field i...
Daniel Forsberg, Mats T. Andersson, Hans Knutsson
ACIVS
2007
Springer
13 years 9 months ago
A Multi-agent Approach for Range Image Segmentation with Bayesian Edge Regularization
Abstract. We present and evaluate in this paper a multi-agent approach for range image segmentation. The approach consists in using autonomous agents for the segmentation of a rang...
Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Moh...
SIGGRAPH
1996
ACM
13 years 9 months ago
Fitting Smooth Surfaces to Dense Polygon Meshes
Recent progress in acquiring shape from range data permits the acquisition of seamless million-polygon meshes from physical models. In this paper, we present an algorithm and syst...
Venkat Krishnamurthy, Marc Levoy
IBPRIA
2007
Springer
13 years 11 months ago
Progressive Compression of Geometry Information with Smooth Intermediate Meshes
We present a new geometry compression algorithm for manifold 3D meshes based on octree coding. For a given mesh, regular volume grids are built with an adaptive octree. For each gr...
Taejung Park, Haeyoung Lee, Chang-hun Kim