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» Flux Invariants for Shape
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CVPR
2012
IEEE
13 years 4 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
138
Voted
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
15 years 3 months ago
Fast Best-Match Shape Searching in Rotation Invariant Metric Spaces
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis ...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
CVPR
2000
IEEE
16 years 3 months ago
Robust and Efficient Skeletal Graphs
There has recently been significant interest in using repions based on abstractions of Blum's skeleton into a graph, for qualitative shape matching. The application of these ...
Pavel Dimitrov, Carlos Phillips, Kaleem Siddiqi
101
Voted
BMVC
2000
15 years 3 months ago
Invariant Characterization of the Hough Transform for Pose Estimation of Arbitrary Shapes
We develop a new formulation for including invariance in a general form of the Hough transform. We first develop a formal definition of the Hough transform mapping for arbitrary s...
Alberto S. Aguado, Eugenia Montiel, Mark S. Nixon
134
Voted
ICPR
2004
IEEE
16 years 2 months ago
Parameterisation Invariant Statistical Shape Models
In this paper novel theory to automate shape modelling is described. The main idea is to develop a theory that is intrinsically defined for curves, as opposed to a finite sample o...
Johan Karlsson, Anders Ericsson, Kalle Åstr&...