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» Object recognition using graph spectral invariants
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ICVS
2003
Springer
14 years 28 days ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
CRV
2006
IEEE
148views Robotics» more  CRV 2006»
14 years 1 months ago
Autonomous Learning of Object Appearances using Colour Contour Frames
In this paper we make use of the idea that a robot can autonomously discover objects and learn their appearances by poking and prodding at interesting parts of a scene. In order t...
Per-Erik Forssén, Anders Moe
AGTIVE
2007
Springer
13 years 11 months ago
Verification and Synthesis of OCL Constraints Via Topology Analysis
On the basis of a case-study, we demonstrate the usefulness of topology invariants for model-driven systems development. Considering a graph grammar semantics for a relevant fragme...
Jörg Bauer, Werner Damm, Tobe Toben, Bernd We...
ECCV
2008
Springer
14 years 9 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
ICCV
2005
IEEE
14 years 9 months ago
Object Recognition in High Clutter Images Using Line Features
We present an object recognition algorithm that uses model and image line features to locate complex objects in high clutter environments. Finding correspondences between model an...
Philip David, Daniel DeMenthon