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» Measuring the Self-Consistency of Stereo Algorithms
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ICCV
2005
IEEE
14 years 7 months ago
When Does a Camera See Rain?
Rain produces sharp intensity fluctuations in images and videos, which degrade the performance of outdoor vision systems. These intensity fluctuations depend on various factors, s...
Kshitiz Garg, Shree K. Nayar
CVPR
2000
IEEE
14 years 8 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
IPSN
2007
Springer
14 years 3 days ago
MeshEye: a hybrid-resolution smart camera mote for applications in distributed intelligent surveillance
Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of i...
Stephan Hengstler, Daniel Prashanth, Sufen Fong, H...
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
14 years 43 min ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 4 months ago
Visual odometry priors for robust EKF-SLAM
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
Pablo Fernández Alcantarilla, Luis Miguel B...