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» Supershape Recovery from 3D Data Sets
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ICCV
2005
IEEE
14 years 4 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
CVPR
2008
IEEE
14 years 16 days ago
Building reconstruction from a single DEM
We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures extracted from a...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...
VMV
2001
105views Visualization» more  VMV 2001»
14 years 4 days ago
Facial Reconstruction Using Volumetric Data
In this paper we demonstrate computer aided techniques in the area of the reconstruction of facial features from skeletal remains. We outline the desired features of a system for ...
Mark W. Jones
CVPR
2009
IEEE
15 years 5 months ago
A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data
Airborne LiDAR technology draws increasing interest in large-scale 3D urban modeling in recent years. 3D Li- DAR data typically has no texture information. To generate photo-rea...
Lu Wang, Ulrich Neumann
IJCAI
1997
14 years 3 days ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip