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Comparison of Optimisation Algorithms for Deformable Template Matching
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Synthetic Ground Truth for Feature Trackers
Learning Floppy Robot Control
On Second Order Operators and Quadratic Operators
Fusing dynamic percepts and symbols in cognitive systems
High-arity Interactions, Polyhedral Relaxations, and Cutting Plane Algorithm for Soft Constraint Optimisation (MAP-MRF)
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A Discrete Search Method for Multi-modal Non-Rigid Image Registration
On Partial Optimality in Multi-label MRFs
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Pose primitive based human action recognition in videos or still images
Web Scale Image Clustering
Efficient Sequential Correspondence Selection by Cosegmentation
Spatio-Temporal Feature Recognition using Randomised Ferns
Marginal Consistency: Unifying Constraint Propagation on Commutative Semirings
Online Learning and Partitioning of Linear Displacement Predictors for Tracking
Robust Lip-Tracking using Rigid Flocks of Selected Linear Predictors
Scale Invariant Action Recognition using Compound Feature Mined from Dense Spatio-temporal Corners
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A Linear-Complexity Reparameterisation Strategy for the Hierarchical Bootstrapping of Capabilities within Perception-Action Architectures
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Fast and Accurate Ego-motion Estimation
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Optical Flow Computation on CUDA
Continuous Dimensionality Characterization of Image Structures
Exploratory Learning Structures in Artificial Cognitive Systems
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Efficient Computation of Channel-coded Feature Maps through Piecewise Polynomials
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Learning Higher-Order Markov Models for Object Tracking in Image Sequences
Fast and Accurate Structure and Motion Estimation
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Revisiting the Decomposition Approach to Inference in Exponential Families and Graphical Models
Large Scale Discovery of Spatially Related Images
Geometric min-Hashing: Finding a (Thick) Needle in a Haystack
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Feature Condensing Algorithm for Feature Selection
Near Duplicate Image Detection: min-Hash and tf-idf Weighting
Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases
Comparison of Optimisation Algorithms for Deformable Template Matching
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels
Fast Realistic Multi-Action Recognition using Mined Dense Spatio-temporal Features
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method
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Perception-Action Learning as an Epistemologically-Consistent Model for Self-Updating Cognitive Representation
Problem Solving Through Imitation
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Vasileios Zografos
(
2009
)
Comparison of Optimisation Algorithms for Deformable Template Matching
In: ISVC (2), pp. 1097-1108.
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Two new papers accepted to ICPR