179 search results - page 26 / 36 » Probabilistic Scene Models for Image Interpretation |
NIPS
2003
14 years 11 months ago
2003
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
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CVPR
2012
IEEE
13 years 4 days ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
IJCV
2002
14 years 9 months ago
2002
We describe a linear-time algorithm that recovers absolute camera orientations and positions, along with uncertainty estimates, for networks of terrestrial image nodes spanning hun...
ECCV
2004
Springer
15 years 11 months ago
2004
Springer
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....