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» Flux Invariants for Shape
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CVPR
2012
IEEE
13 years 15 days 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
SDM
2007
SIAM
201views Data Mining» more  SDM 2007»
14 years 11 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 days 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
BMVC
2000
14 years 11 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
ICPR
2004
IEEE
15 years 11 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&...