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» 3D Model Recognition From Stereoscopic Cues
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IJCV
2007
157views more  IJCV 2007»
14 years 9 months ago
Recovering Surface Layout from an Image
Humans have an amazing ability to instantly grasp the overall 3D structure of a scene – ground orientation, relative positions of major landmarks, etc – even from a single ima...
Derek Hoiem, Alexei A. Efros, Martial Hebert
IJCV
2008
242views more  IJCV 2008»
14 years 9 months ago
3D Urban Scene Modeling Integrating Recognition and Reconstruction
Supplying realistically textured 3D city models at ground level promises to be useful for pre-visualizing upcoming traffic situations in car navigation systems. Because this previs...
Nico Cornelis, Bastian Leibe, Kurt Cornelis, Luc J...
ACCV
2010
Springer
14 years 4 months ago
Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition
We present a 3D, probabilistic object-surface model, along with mechanisms for probabilistically integrating unregistered 2.5D views into the model, and for segmenting model instan...
Renaud Detry, Justus H. Piater
IJCV
2000
180views more  IJCV 2000»
14 years 9 months ago
Probabilistic Models of Appearance for 3-D Object Recognition
We describe how to model the appearance of a 3-D object using multiple views, learn such a model from training images, and use the model for object recognition. The model uses pro...
Arthur R. Pope, David G. Lowe
VMV
2001
209views Visualization» more  VMV 2001»
14 years 11 months ago
A Novel Probabilistic Model for 3D Object Recognition: Spin-Glass Markov Random Fields
This contribution presents a new class of MRF, that is inspired by methods of statistical physics. The new energy function assumes full-connectivity in the neighborhood system and...
Barbara Caputo, Sahla Bouattour, Dietrich Paulus