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» Probabilistic Modeling and Recognition of 3-D Objects
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ICCV
2003
IEEE
14 years 9 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
ICCV
1995
IEEE
13 years 11 months ago
Recognizing 3D Objects Using Photometric Invariant
In this paper we describe a new e cient algorithm for recognizing 3D objects by combining photometric and geometric invariants. Some photometric properties are derived, that are i...
Kenji Nagao
ECCV
2010
Springer
14 years 24 days ago
Inferring 3D Shapes and Deformations from Single Views
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
3DOR
2010
13 years 2 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
BIOSIG
2008
166views Biometrics» more  BIOSIG 2008»
13 years 9 months ago
Improving Border Control with 3D Face Recognition
: Biometric data have been integrated in all new European passports, since the member states of the European Commission started to implement the EU Council Regulation No 2252/2004 ...
Paul Welti, Jean-Marc Suchier, Christoph Busch