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» Dense Range Image Smoothing Using Adaptive Regularization
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ECCV
1996
Springer
15 years 11 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
14 years 9 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
15 years 1 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
15 years 1 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
15 years 3 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