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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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112
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ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
14 years 8 months ago
Robust vehicle localization in urban environments using probabilistic maps
— Autonomous vehicle navigation in dynamic urban environments requires localization accuracy exceeding that available from GPS-based inertial guidance systems. We have shown prev...
Jesse Levinson, Sebastian Thrun
70
Voted
JMM2
2007
117views more  JMM2 2007»
14 years 9 months ago
Image Segmentation using Multi-Coloured Active Illumination
— In this paper, the use of active illumination is extended to image segmentation, specifically in the case of overlapping particles. This work is based on Multi-Flash Imaging (M...
Tze Ki Koh, Nicholas Miles, Steve Morgan, Barrie H...
76
Voted
ICCV
2005
IEEE
15 years 11 months ago
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multi-view s...
Jean-Sébastien Franco, Edmond Boyer
CVPR
2011
IEEE
14 years 5 months ago
A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo
This paper presents a complete solution to estimating a scene’s 3D geometry and appearance from multiple 2D images by using a statistical inverse ray tracing method. Instead of ...
Shubao Liu, David Cooper
ICPR
2000
IEEE
15 years 10 months ago
Application of Planar Motion Segmentation for Scene Text Extraction
This paper explores an approach for extracting scene text from a sequence of images with relative motion between the camera and the scene. It is assumed that the scene text lies o...
Tarak Gandhi, Rangachar Kasturi, Sameer Antani