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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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3DOR
2008
15 years 4 days ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
CVPR
2008
IEEE
15 years 11 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor
CG
2004
Springer
14 years 9 months ago
3D video fragments: dynamic point samples for real-time free-viewpoint video
We present 3D video fragments, a dynamic point sample framework for real-time free-viewpoint video. By generalizing 2D video pixels towards 3D irregular point samples we combine t...
Stephan Würmlin, Edouard Lamboray, Markus H. ...
DAGM
2007
Springer
15 years 1 months ago
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination
Abstract In this paper we extend a multi-camera model for simultaneous estimation of 3d position, normals, and 3d motion of surface patches [17] to be able to handle brightness cha...
Tobias Schuchert, Hanno Scharr
GRAPHICSINTERFACE
2003
14 years 11 months ago
Interactive Point-based Modeling of Complex Objects from Images
Modeling complex realistic objects is a difficult and time consuming process. Nevertheless, with improvements in rendering speed and quality, more and more applications require s...
Pierre Poulin, Marc Stamminger, François Du...