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CVPR
2006
IEEE
16 years 8 months ago
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image
When we look at a picture, our prior knowledge about the world allows us to resolve some of the ambiguities that are inherent to monocular vision, and thereby infer 3d information...
Erick Delage, Honglak Lee, Andrew Y. Ng
ICCV
1999
IEEE
16 years 8 months ago
Manhattan World: Compass Direction from a Single Image by Bayesian Inference
When designing computer vision systems for the blind and visually impaired it is important to determine the orientation of the user relative to the scene. We observe that most ind...
James M. Coughlan, Alan L. Yuille
ICCV
2011
IEEE
14 years 6 months ago
Evaluation of Image Features Using a Photorealistic Virtual World
Image features are widely used in computer vision applications. They need to be robust to scene changes and image transformations. Designing and comparing feature descriptors requ...
Biliana Kaneva, Antonio Torralba, Bill Freeman
CVPR
2008
IEEE
16 years 8 months ago
People-tracking-by-detection and people-detection-by-tracking
Both detection and tracking people are challenging problems, especially in complex real world scenes that commonly involve multiple people, complicated occlusions, and cluttered o...
Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
CVPR
2008
IEEE
16 years 8 months ago
Reconstructing non-stationary articulated objects in monocular video using silhouette information
This paper presents an approach to reconstruct nonstationary, articulated objects from silhouettes obtained with a monocular video sequence. We introduce the concept of motion blu...
Saad M. Khan, Mubarak Shah