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ACCV
2006
Springer

Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation

8 years 9 months ago
Fusion of 3D and Appearance Models for Fast Object Detection and Pose Estimation
Real-time estimation of a camera’s pose relative to an object is still an open problem. The difficulty stems from the need for fast and robust detection of known objects in the scene given their 3D models, or a set of 2D images or both. This paper proposes a method that conducts a statistical analysis of the appearance of model patches from all possible viewpoints in the scene and incorporates the 3D geometry during both matching and the pose estimation processes. Thereby the appearance information from the 3D model and real images are combined with synthesized images in order to learn the variations in the multiple view feature descriptors using PCA. Furthermore, by analyzing the computed visibility distribution of each patch from different viewpoints, a reliability measure for each patch is estimated. This reliability measure is used to further constrain the classification problem. This results in a more scalable representation reducing the effect of the complexity of the 3D mod...
Hesam Najafi, Yakup Genc, Nassir Navab
Added 13 Jun 2010
Updated 13 Jun 2010
Type Conference
Year 2006
Where ACCV
Authors Hesam Najafi, Yakup Genc, Nassir Navab
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