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» Statistical Models of Appearance for Computer Vision
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BMVC
2002
15 years 5 months ago
Improving architectural 3D reconstruction by plane and edge constraining
This paper presents new techniques for improving the structural quality of automatically acquired architectural 3D models. Common architectural features like parallelism and ortho...
H. Cantzler, Robert B. Fisher, Michel Devy
ICCV
2009
IEEE
15 years 28 days ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri
ICPR
2010
IEEE
15 years 2 months ago
Color Adjacency Modeling for Improved Image and Video Segmentation
—Color models are often used for representing object appearance for foreground segmentation applications. The relationships between colors can be just as useful for object select...
Brian Price, Bryan Morse, Scott Cohen
ICPR
2002
IEEE
16 years 4 months ago
Bayesian Rendering with Non-Parametric Multiscale Prior Model
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
Max Mignotte
ICCV
2005
IEEE
15 years 8 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...