Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches

Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the multiple class object-based segmentation is achieved using the appearance and bag of keypoints models integrated over mean-shift patches. We...

Celý popis

Podrobná bibliografia

Vydané v:	2007 IEEE Conference on Computer Vision and Pattern Recognition Ročník 2007; číslo 4270254; s. 1 - 8
Hlavní autori:	Yang, Lin, Meer, Peter, Foran, David J.
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 16.07.2007
Predmet:	Bayesian methods Biomedical imaging Biomedical informatics Cancer Clustering algorithms Histograms Image segmentation Object recognition Shape Testing
ISBN:	9781424411795, 1424411793
ISSN:	1063-6919, 1063-6919
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!