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» Supershape Recovery from 3D Data Sets
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CVPR
2012
IEEE
11 years 10 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
ICIP
2004
IEEE
14 years 9 months ago
Complete 3-d models from video: a global approach
We address the automatic recovery of complete 3-D object models from video streams. Usually, complete 3-D models are built by fusing several depth maps, each computed from a small...
Bruno B. Gonçalves, Pedro M. Q. Aguiar
ICCV
2005
IEEE
14 years 9 months ago
Shape Recovery of 3D Data Obtained from a Moving Range Sensor by Using Image Sequences
For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. But in the case of large cultural heritage objects, there are some difficultie...
Atsuhiko Banno, Katsushi Ikeuchi
AAAI
2004
13 years 9 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
CG
2008
Springer
13 years 7 months ago
Masked photo blending: Mapping dense photographic data set on high-resolution sampled 3D models
The technological advance of sensors is producing an exponential size growth of the data coming from 3D scanning and digital photography. The production of digital 3D models consi...
Marco Callieri, Paolo Cignoni, Massimiliano Corsin...