145 search results - page 18 / 29 » Unsupervised Segmentation of Poisson Data |
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
DAGM
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
JCP
2007
13 years 7 months ago
2007
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...