94 search results - page 7 / 19 » Maximum kernel density estimator for robust fitting |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose an alternative to probability density classifiers based on normal distributions LDA and QDA. Instead of estimating covariance matrices using the standard maximum likeli...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
DICTA
2007
13 years 9 months ago
2007
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
ICRA
2009
IEEE
13 years 5 months ago
2009
IEEE
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...