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» Surface Reconstruction of Noisy and Defective Data Sets
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ICIP
2006
IEEE
16 years 1 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
CGI
1998
IEEE
15 years 3 months ago
Graph-Based Surface Reconstruction Using Structures in Scattered Point Sets
We present an algorithm for the reconstruction of a surface from an unorganized set of points in space. The point data may be obtained from a laser range scanner or any other digi...
Robert Mencl, Heinrich Müller
MIRAGE
2007
Springer
15 years 5 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
DAGM
2006
Springer
15 years 3 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
ICIP
2006
IEEE
16 years 1 months ago
Supershape Recovery from 3D Data Sets
In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets. Individual supershapes are separately recovered from a segmented mesh. R-functions are u...
Andrei V. Gribok, Frédéric Truchetet...