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» Surface Reconstruction using Learned Shape Models
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ECCV
2004
Springer
14 years 11 months ago
Model Selection for Range Segmentation of Curved Objects
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
Alireza Bab-Hadiashar, Niloofar Gheissari
INTERSPEECH
2010
13 years 4 months ago
Estimating missing data sequences in x-ray microbeam recordings
Techniques for recording the vocal tract shape during speech such as X-ray microbeam or EMA track the spatial location of pellets attached to several articulators. Limitations of ...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
CVPR
2001
IEEE
14 years 11 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ICCV
2003
IEEE
14 years 2 months ago
Surface Reconstruction from Feature Based Stereo
This paper describes an approach to recovering surface models of complex scenes from the quasi-sparse data returned by a feature based stereo system. The method can be used to mer...
Camillo J. Taylor
ECCV
2004
Springer
14 years 11 months ago
Hand Motion from 3D Point Trajectories and a Smooth Surface Model
A method is proposed to track the full hand motion from 3D points reconstructed using a stereoscopic set of cameras. This approach combines the advantages of methods that use 2D mo...
Guillaume Dewaele, Frederic Devernay, Radu Horaud