A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
The GESTALT-System is a stratified architecture for challenging computer vision tasks. This contribution focuses on the 3rd and 4th layer of it – the grouping and decision layer...
Eckart Michaelsen, Uwe Stilla, Uwe Soergel, Leo J....
We consider the problem of fitting linearly parameterized models, that arises in many computer vision problems such as road scene analysis. Data extracted from images usually cont...
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...