Sciweavers

248 search results - page 22 / 50
» A Multi-View Probabilistic Model for 3D Object Classes
Sort
View
CVPR
2003
IEEE
14 years 9 months ago
Object Class Recognition by Unsupervised Scale-Invariant Learning
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
Robert Fergus, Pietro Perona, Andrew Zisserman
FGR
2006
IEEE
169views Biometrics» more  FGR 2006»
14 years 1 months ago
Combining PCA and LFA for Surface Reconstruction from a Sparse Set of Control Points
This paper presents a novel method for 3D surface reconstruction based on a sparse set of 3D control points. For object classes such as human heads, prior information about the cl...
Reinhard Knothe, Sami Romdhani, Thomas Vetter
ICML
2007
IEEE
14 years 8 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
3DOR
2010
13 years 2 months ago
SHREC'10 Track: Range Scan Retrieval
The 3D Shape Retrieval Contest 2010 (SHREC'10) on range scan retrieval aims at comparing algorithms that match a range scan to complete 3D models in a target database. The qu...
Helin Dutagaci, Afzal Godil, Chun Pan Cheung, Taka...
3DPVT
2004
IEEE
153views Visualization» more  3DPVT 2004»
13 years 11 months ago
Surface Reconstruction from the Projection of Points, Curves and Contours
In this paper the problem of building and reconstructing geometrical surface models from multiple calibrated images is considered. We build an appropriate statistical 3D model fro...
Jan Erik Solem, Fredrik Kahl