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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ACCV
2007
Springer
15 years 3 months ago
An Occupancy-Depth Generative Model of Multi-view Images
This paper presents an occupancy based generative model of stereo and multi-view stereo images. In this model, the space is divided into empty and occupied regions. The depth of a ...
Pau Gargallo, Peter F. Sturm, Sergi Pujades
CRV
2009
IEEE
225views Robotics» more  CRV 2009»
15 years 4 months ago
3D Modeling from Multiple Views with Integrated Registration and Data Fusion
This paper presents an integrated modeling system capable of generating coloured three dimensional representations of a scene observed from multiple viewpoints. Emphasis is given ...
Alain Boyer, Phillip Curtis, Pierre Payeur
ICIP
1995
IEEE
15 years 11 months ago
3D super-resolution using generalized sampling expansion
A 3D super-resolution algorithm is proposed below, based on a probabilistic interpretation of the ndimensional version of Papoulis' generalized sampling theorem. The algorith...
Hassan Shekarforoush, Marc Berthod, Josiane Zerubi...
ICCV
1998
IEEE
15 years 11 months ago
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
In this paper, we present a robust method for creating a triangulated surface mesh from multiple range images. Our method merges a set of range images into a volumetric implicit-s...
Mark D. Wheeler, Yoichi Sato, Katsushi Ikeuchi
PR
2007
216views more  PR 2007»
14 years 9 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee