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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ECCV
2008
Springer
14 years 9 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
ICCV
2007
IEEE
14 years 9 months ago
3D Model based Object Class Detection in An Arbitrary View
In this paper, a novel object class detection method based on 3D object modeling is presented. Instead of using a complicated mechanism for relating multiple 2D training views, th...
Pingkun Yan, Saad M. Khan, Mubarak Shah
IJCV
2002
233views more  IJCV 2002»
13 years 7 months ago
Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-Baseline Stereo Using a Hand-Held Video Camera
Three-dimensional (3-D) models of outdoor scenes are widely used for object recognition, navigation, mixed reality, and so on. Because such models are often made manually with hig...
Tomokazu Sato, Masayuki Kanbara, Naokazu Yokoya, H...
AVSS
2006
IEEE
14 years 1 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
SIGGRAPH
2010
ACM
13 years 6 months ago
Nonlinear disparity mapping for stereoscopic 3D
This paper addresses the problem of remapping the disparity range of stereoscopic images and video. Such operations are highly important for a variety of issues arising from the p...
Manuel Lang, Alexander Hornung, Oliver Wang, Steve...