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» 3D Model Recognition From Stereoscopic Cues
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CVPR
2010
IEEE
14 years 2 months ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
CVPR
2007
IEEE
14 years 7 months ago
3D Pose Estimation Based on Multiple Monocular Cues
In this study we propose an integrated approach to the problem of 3D pose estimation. The main difference to the majority of known methods is the usage of complementary image info...
Björn Barrois, Christian Wöhler
CVPR
2009
IEEE
1524views Computer Vision» more  CVPR 2009»
15 years 23 days ago
3D Pose Estimation and Segmentation using Specular Cues
We present a system for fast model-based segmentation and 3D pose estimation of specular objects using appearance based specular features. We use observed (a) specular reflection...
Ju Yong Chang, Ramesh Raskar, Amit K. Agrawal
ECCV
2008
Springer
14 years 7 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...
ICIP
1999
IEEE
14 years 7 months ago
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool