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CVPR
2005
IEEE
16 years 4 days ago
Correspondence Expansion for Wide Baseline Stereo
We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, wh...
Kevin L. Steele, Parris K. Egbert
87
Voted
CVPR
2005
IEEE
16 years 4 days ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes
CVPR
2005
IEEE
16 years 4 days ago
Selection and Fusion of Color Models for Feature Detection
The choice of a color space is of great importance for many computer vision algorithms (e.g. edge detection and object recognition). It induces the equivalence classes to the actu...
Harro M. G. Stokman, Theo Gevers
CVPR
2005
IEEE
16 years 4 days ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell
CVPR
2005
IEEE
16 years 4 days ago
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
Ying-li Tian, Max Lu, Arun Hampapur