Part segmentation from 2D edge images by the MDL criterion:

Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Pilu, Maurizio (VerfasserIn), Fissher, Robert B. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Edinburgh 1996
Schriftenreihe:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 817
Schlagworte:
Zusammenfassung:Abstract: "In the context of part segmentation from 2D edge images, this paper presents some interesting results with a novel method that addresses the problem of filtering a redundant set of part hypotheses that retains only those that are likely to correspond to actual parts. In the proposed method, supporting evidence for hypotheses are put in competition in a Minimum Description-Length (MDL) framework to select part hypotheses that most economically represent supporting edges in the 'language' of generic parts."
Beschreibung:[10] S.

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand!