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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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FGR
2000
IEEE
175views Biometrics» more  FGR 2000»
14 years 1 days ago
A Framework for Modeling the Appearance of 3D Articulated Figures
This paper describes a framework for constructing a linear subspace model of image appearance for complex articulated 3D figures such as humans and other animals. A commercial mo...
Hedvig Sidenbladh, Fernando De la Torre, Michael J...
CVPR
2006
IEEE
14 years 1 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
ICRA
2005
IEEE
142views Robotics» more  ICRA 2005»
14 years 1 months ago
Omnidirectional 3D Modeling on a Mobile Robot using Graph Cuts
— For a mobile robot it is a natural task to build a 3D model of its environment. Such a model is not only useful for planning robot actions but also to provide a remote human su...
Sven Fleck, Florian Busch, Peter Biber, Henrik And...
CVPR
2008
IEEE
14 years 9 months ago
Face shape recovery from a single image using CCA mapping between tensor spaces
In this paper, we propose a new approach for face shape recovery from a single image. A single near infrared (NIR) image is used as the input, and a mapping from the NIR tensor sp...
Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li
CVPR
2008
IEEE
14 years 2 months ago
Retinal image registration from 2D to 3D
We propose a 2D registration method for multi-modal image sequences of the retinal fundus, and a 3D metric reconstruction of near planar surface from multiple views. There are two...
Yuping Lin, Gérard G. Medioni