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» Shape Discovery from Unlabeled Image Collections
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ICPR
2000
IEEE
14 years 2 months ago
(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently ...
Jürgen Vogel, Wolf-Tilo Balke, Werner Kie&szl...
CVPR
2006
IEEE
14 years 11 months ago
Unsupervised Discovery of Action Classes
In this paper we consider the problem of describing the action being performed by human figures in still images. We will attack this problem using an unsupervised learning approac...
Greg Mori, Hao Jiang, Mark S. Drew, Yang Wang 0003...
ECCV
2002
Springer
14 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
ICIP
2009
IEEE
14 years 10 months ago
Principal Moments For Efficient Representation Of 2d Shape
The analytic signature is a recently proposed 2D shape representation scheme. It is tailored to the representation of shapes described by arbitrary sets of unlabeled points, or la...
MICCAI
2004
Springer
14 years 10 months ago
Learning Coupled Prior Shape and Appearance Models for Segmentation
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
Xiaolei Huang, Zhiguo Li, Dimitris N. Metaxas