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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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140
Voted
ICPR
2000
IEEE
16 years 3 months ago
A Quick 3D-2D Registration Method for a Wide-Range of Applications
Amethod for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a...
Yasuyo Kita, Nobuyuki Kita, Dale L. Wilson, J. Ali...
124
Voted
CVPR
2006
IEEE
15 years 8 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICCV
2005
IEEE
15 years 8 months ago
Shape from Symmetry
We describe a technique for reconstructing probable occluded surfaces from 3-D range images. The technique exploits the fact that many objects possess shape symmetries that can be...
Sebastian Thrun, Ben Wegbreit
125
Voted
CVPR
1999
IEEE
16 years 4 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
154
Voted
3DIM
2011
IEEE
14 years 2 months ago
A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes
Abstract—During the last few years a wide range of algorithms and devices have been made available to easily acquire range images. To this extent, the increasing abundance of dep...
Andrea Albarelli, Emanuele Rodolà, Filippo ...