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» Surface Reconstruction using Learned Shape Models
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ECCV
2004
Springer
16 years 5 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
14 years 10 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
16 years 5 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
15 years 8 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
16 years 5 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