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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ACIVS
2007
Springer
15 years 8 months ago
Multiview Depth-Image Compression Using an Extended H.264 Encoder
This paper presents a predictive-coding algorithm for the compression of multiple depth-sequences obtained from a multi-camera acquisition setup. The proposed depth-prediction algo...
Yannick Morvan, Dirk Farin, Peter H. N. de With
CVPR
2003
IEEE
16 years 4 months ago
Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo
Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications s...
German K. M. Cheung, Simon Baker, Takeo Kanade
CVPR
2011
IEEE
14 years 9 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
DAGM
2010
Springer
15 years 3 months ago
Real-Time Dense Geometry from a Handheld Camera
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method pr...
Jan Stühmer, Stefan Gumhold, Daniel Cremers
ICCV
2007
IEEE
16 years 4 months ago
What Can Casual Walkers Tell Us About A 3D Scene?
An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in...
Diego Rother, Kedar A. Patwardhan, Guillermo Sapir...