This paper presents a probabilistic similarity measure for object recognition from large libraries of line-patterns. We commence from a structural pattern representation which use...
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
We consider the problem of decoupling translation and rotation for a collection of 3D data related to 2D images by a projection. The main contribution is to show that equations de...
Jean-Yves Guillemaut, Alberto S. Aguado, John Illi...
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean e...
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...