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» Design and Use of Linear Models for Image Motion Analysis
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ECCV
2008
Springer
14 years 10 months ago
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging i...
Anat Levin, William T. Freeman, Frédo Duran...
CVPR
2011
IEEE
2153views Computer Vision» more  CVPR 2011»
13 years 5 months ago
The Light-Path Less Traveled
This paper extends classical object pose and relative camera motion estimation algorithms for imaging sensors sampling the scene through light-paths. Many algorithms in multi-view...
Srikumar Ramalingam, Sofien Bouaziz, Peter Sturm, ...
ECCV
2010
Springer
14 years 2 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
CVPR
2001
IEEE
14 years 11 months ago
Precise Omnidirectional Camera Calibration
Recent omnidirectional camera designs aim a conventional camera at a mirror that expands the camera's field of view. This wide view is ideal for three-dimensional vision task...
Dennis Strelow, Jeffrey Mishler, David Koes, Sanji...
CVPR
2007
IEEE
14 years 11 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...