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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICRA
2010
IEEE
135views Robotics» more  ICRA 2010»
14 years 8 months ago
Using multiple hypothesis in model-based tracking
— Classic registration methods for model-based tracking try to align the projected edges of a 3D model with the edges of the image. However, wrong matches at low level can make t...
Céline Teuliere, Éric Marchand, Laur...
SIGGRAPH
1996
ACM
15 years 1 months ago
Modeling and Rendering Architecture from Photographs: A Hybrid Geometry- and Image-Based Approach
We present a new approach for modeling and rendering existing architectural scenes from a sparse set of still photographs. Our modeling approach, which combines both geometry-base...
Paul E. Debevec, Camillo J. Taylor, Jitendra Malik
FBIT
2007
IEEE
15 years 1 months ago
Mapping Genetic Influences on Brain Shape Using Multi-Atlas Fluid Image Alignment
In this pilot study, we developed a set of computer vision based surface segmentation and statistical shape analysis algorithms to study genetic influences on brain structure in a...
Meena Mani, Yi-Yu Chou, Natasha Lepore, Agatha D. ...
TVCG
2012
218views Hardware» more  TVCG 2012»
13 years 5 days ago
Flow-Based Local Optimization for Image-to-Geometry Projection
—The projection of a photographic dataset on a 3D model is a robust and widely applicable way to acquire appearance information of an object. The first step of this procedure is...
Matteo Dellepiane, Ricardo Marroquim, Marco Callie...
DAGM
2009
Springer
15 years 4 months ago
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera
We describe a technique for estimating human pose from an image sequence captured by a time-of-flight camera. The pose estimation is derived from a simple model of the human body ...
Martin Haker, Martin Böhme, Thomas Martinetz,...