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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICPR
2008
IEEE
14 years 8 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui
ECCV
2010
Springer
13 years 10 months ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
ECCV
2004
Springer
14 years 9 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
ICMCS
2007
IEEE
161views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Generating High-Resolution Textures for 3D Virtual Environments using View-Independent Texture Mapping
Image based modeling and rendering techniques have become increasingly popular for creating and visualizing 3D models from a set of images. Typically, these techniques depend on v...
Charalambos Poullis, Suya You, Ulrich Neumann
3DIM
1999
IEEE
14 years 2 hour ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...