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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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ICPR
2008
IEEE
14 years 2 months ago
3D object localization based on occluding contour using STL CAD model
This paper describes a method to localize 3D objects, which is the extension of the segment-based object recognition method to use on a STL CAD model. Models for localization are ...
Kenichi Maruyama, Yoshihiro Kawai, Takashi Yoshimi...
AVSS
2003
IEEE
14 years 28 days ago
A Multi-Camera Conical Imaging System for Robust 3D Motion Estimation, Positioning and Mapping from UAVs
Over the last decade, there has been an increasing interest in developing vision systems and technologies that support the operation of unmanned platforms for positioning, mapping...
Pezhman Firoozfam, Shahriar Negahdaripour
ICIP
2006
IEEE
14 years 9 months ago
Video-Based Rendering using Feature Point Evolution
1 We propose a novel video-based rendering algorithm with a single moving camera. We reconstruct a dynamic 3D model of the scene with a feature point set that "evolves" o...
Wende Zhang, Tsuhan Chen
SCIA
2007
Springer
119views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Watertight Multi-view Reconstruction Based on Volumetric Graph-Cuts
This paper proposes a fast 3D reconstruction approach for efficiently generating watertight 3D models from multiple short baseline views. Our method is based on the combination of...
Mario Sormann, Christopher Zach, Joachim Bauer, Ko...
ECCV
2010
Springer
13 years 8 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang