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ICIP
2001
IEEE
16 years 7 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
PAMI
1998
137views more  PAMI 1998»
15 years 5 months ago
Registration and Integration of Multiple Object Views for 3D Model Construction
—Automatic 3D object model construction is important in applications ranging from manufacturing to entertainment, since CAD models of existing objects may be either unavailable o...
Chitra Dorai, Gang Wang, Anil K. Jain, Carolyn R. ...
CVPR
2007
IEEE
16 years 8 months ago
Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
3DICA
2000
15 years 7 months ago
Automatic Reconstruction of Large 3D Models of Real Environments from Unregistered Data-sets
Towards photo-realistic 3D scene reconstruction from range and color images, we present a statistical technique for multimodal image registration. Statistical tools are employed t...
Faysal Boughorbel, David L. Page, Mongi A. Abidi
PAMI
2006
183views more  PAMI 2006»
15 years 6 months ago
A Model-Based Approach for Estimating Human 3D Poses in Static Images
Estimating human body poses in static images is important for many image understanding applications including semantic content extraction and image database query and retrieval. Th...
Mun Wai Lee, Isaac Cohen