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» How Computer Vision Can Help in Outdoor Positioning
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ECCV
2002
Springer
14 years 7 months ago
All the Images of an Outdoor Scene
The appearance of an outdoor scene depends on a variety of factors such as viewing geometry, scene structure and reflectance (BRDF or BTF), illumination (sun, moon, stars, street l...
Srinivasa G. Narasimhan, Chi Wang, Shree K. Nayar
CVPR
2000
IEEE
14 years 7 months ago
Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
CVPR
2000
IEEE
14 years 7 months ago
Arbitrary View Position and Direction Rendering for Large-Scale Scenes
This paper presents a new method for rendering views, especially those of large-scale scenes, such as broad city landscapes. The main contribution of our method is that we are abl...
Takuji Takahashi, Hiroshi Kawasaki, Katsushi Ikeuc...
WAPCV
2004
Springer
13 years 10 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
IJCV
2007
113views more  IJCV 2007»
13 years 5 months ago
Vision and Rain
The visual effects of rain are complex. Rain produces sharp intensity changes in images and videos that can severely impair the performance of outdoor vision systems. In this paper...
Kshitiz Garg, Shree K. Nayar