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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICIAR
2009
Springer
13 years 5 months ago
3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
Suman Sedai, Farid Flitti, Mohammed Bennamoun, Du ...
3DICA
2000
13 years 9 months ago
Automatic Reconstruction of Large 3D Models of Real Environments from Unregistered Data-sets
Towards photo-realistic 3D scene reconstruction from range and color images, we present a statistical technique for multimodal image registration. Statistical tools are employed t...
Faysal Boughorbel, David L. Page, Mongi A. Abidi
ISCAS
2008
IEEE
195views Hardware» more  ISCAS 2008»
14 years 2 months ago
Multi-view depth video coding using depth view synthesis
— Depth information indicates the distance of an object in the three dimensional (3D) scene from the camera view-point, typically represented by eight bits. Since the depth map i...
Sang-Tae Na, Kwan-Jung Oh, Cheon Lee, Yo-Sung Ho
ICCV
1999
IEEE
14 years 9 months ago
An Integrated Bayesian Approach to Layer Extraction from Image Sequences
This paper describes a Bayesian approach for modeling 3D scenes as a collection of approximately planar layers that are arbitrarily positioned and oriented in the scene. In contra...
Philip H. S. Torr, Richard Szeliski, P. Anandan
MICCAI
2006
Springer
14 years 8 months ago
Reconstruction of Patient-Specific 3D Bone Surface from 2D Calibrated Fluoroscopic Images and Point Distribution Model
Reconstruction of patient-specific 3D bone surface from 2D calibrated fluoroscopic images and a point distribution model is discussed. We present a 2D/3D reconstruction scheme comb...
Guoyan Zheng, Miguel Ángel González ...