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ICCV
2009
IEEE
16 years 12 months ago
Unlabeled data improves word prediction
Labeling image collections is a tedious task, especially when multiple labels have to be chosen for each image. In this paper we introduce a new framework that extends state of ...
Nicolas Loeff, Ali Farhadi, Ian Endres and David A...
CVPR
2001
IEEE
16 years 9 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
2005
IEEE
16 years 9 months ago
Shock Filters Based on Implicit Cluster Separation
One of the classic problems in low level vision is image restoration. An important contribution toward this effort has been the development of shock filters by Osher and Rudin [1]...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2007
IEEE
16 years 9 months ago
A Probabilistic Intensity Similarity Measure based on Noise Distributions
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
Yasuyuki Matsushita, Stephen Lin
CVPR
2007
IEEE
16 years 9 months ago
Learning Conditional Random Fields for Stereo
State-of-the-art stereo vision algorithms utilize color changes as important cues for object boundaries. Most methods impose heuristic restrictions or priors on disparities, for e...
Daniel Scharstein, Chris Pal