7 search results - page 1 / 2 » Deterministic Sample Consensus with Multiple Match Hypothese... |
BMVC
2010
13 years 2 months ago
2010
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
ISMAR
2005
IEEE
13 years 10 months ago
2005
IEEE
We present a real-time model-based line tracking approach with adaptive learning of image edge features that can handle partial occlusion and illumination changes. A CAD (VRML) mo...
WILF
2007
Springer
13 years 11 months ago
2007
Springer
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
CVPR
2009
IEEE
15 years 11 hour ago
2009
IEEE
We address the problem of parameter estimation in presence
of both uncertainty and outlier noise. This is a common
occurrence in computer vision: feature localization
is perform...
PRIB
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...