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SGP
2007
13 years 11 months ago
Reconstruction of deforming geometry from time-varying point clouds
In this paper, we describe a system for the reconstruction of deforming geometry from a time sequence of unstructured, noisy point clouds, as produced by recent real-time range sc...
Michael Wand, Philipp Jenke, Qi-Xing Huang, Martin...
JMIV
2006
78views more  JMIV 2006»
13 years 8 months ago
Shape Estimation from Support and Diameter Functions
We address the problem of reconstructing a planar shape from a finite number of noisy measurements of its support function or its diameter function. New linear and non-linear algor...
Amyn Poonawala, Peyman Milanfar, Richard J. Gardne...
ICCV
2011
IEEE
12 years 8 months ago
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
In recent years, depth cameras have become a widely available sensor type that captures depth images at realtime frame rates. Even though recent approaches have shown that 3D pose...
Andreas Baak, Meinard Muller, Gaurav Bharaj, Hans-...
CIMAGING
2008
123views Hardware» more  CIMAGING 2008»
13 years 10 months ago
Non-homogeneous ICD optimization for targeted reconstruction of volumetric CT
Medical imaging typically requires the reconstruction of a limited region of interest (ROI) to obtain a high resolution image of the anatomy of interest. Although targeted reconst...
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman...
CVPR
2006
IEEE
14 years 10 months ago
Uncertainty Models in Quasiconvex Optimization for Geometric Reconstruction
Geometric reconstruction problems in computer vision can be solved by minimizing the maximum of reprojection errors, i.e., the L-norm. Unlike L2-norm (sum of squared reprojection ...
Qifa Ke, Takeo Kanade