Ansatte – Københavns Universitet

Jet based feature classification

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

We investigate to which extent the "raw" mapping of Taylor series coefficients into jet-space can be used as a "language" for describing local image structure in terms of geometrical image features. Based on empirical data from the van Hateren database, we discuss modelling of probability densities for different feature types, calculate feature posterior maps, and finally perform classification or simultaneous feature detection in a Bayesian framework. We introduce the Brownian image model as a generic background class and extend with empirically estimated densities for edges and blobs. We give examples of simultaneous feature detection across scale.
OriginalsprogEngelsk
TitelProceedings of the 17th International Conference on Pattern Recognition, 2004 : ICPR 2004
Antal sider4
ForlagIEEE
Publikationsdato2004
Sider787-790
ISBN (Trykt)0-7695-2128-2
DOI
StatusUdgivet - 2004
Eksternt udgivetJa
Begivenhed17th International Conference on Pattern Recognition - Cambridge, Storbritannien
Varighed: 23 aug. 200426 aug. 2004
Konferencens nummer: 17

Konference

Konference17th International Conference on Pattern Recognition
Nummer17
LandStorbritannien
ByCambridge
Periode23/08/200426/08/2004

ID: 5520639