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» Supershape Recovery from 3D Data Sets
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PAMI
2012
12 years 12 months ago
Monocular 3D Reconstruction of Locally Textured Surfaces
— Most recent approaches to monocular non-rigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well-textured. The alternative ...
Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal ...
VIIP
2001
14 years 10 months ago
3-D Haar Wavelet Transformation and Texture-based 3-D Reconstruction of Biomedical Data Sets
Enhanced biomedical image scanning technology and growing network accessibility have created a need for faster and more efficient data exchange over the Internet and in closed net...
Pujita Pinnamaneni, Sagar Saladi, Joerg Meyer
107
Voted
CVPR
1996
IEEE
15 years 11 months ago
Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data
This paper addresses the general 3-D rigid motion problem, where the point correspondences and the motion parameters between two sets of 3-D points are to be recovered. The existe...
Xiaoguang Wang, Yong-Qing Cheng, Robert T. Collins...
86
Voted
CVPR
2009
IEEE
16 years 4 months ago
Multi-view 3D Human Pose Estimation combining Single-frame Recovery, Temporal Integration and Model Adaptation
We present a system for the estimation of unconstrained 3D human upper body movement from multiple cameras. Its main novelty lies in the integration of three components: single-...
Dariu M. Gavrila, Michael Hofmann
CVPR
2010
IEEE
14 years 12 months ago
Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment
The 3D reconstruction of a face from a single frontal image is an ill-posed problem. This is further accentuated when the face image is captured under different poses and/or compl...
Xianwang Wang, Ruigang Yang