323 citations · 1.4k across the 44 of their papers we have counts for
7 papers · 2 filters
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
Mehrtash Harandi, Richard Hartley, Brian Lovell +1
This paper introduces sparse coding and dictionary learning for Symmetric Positive Definite (SPD) matrices, which are often used in machine learning, computer vision and related ar…
Discovering Discriminative Cell Attributes for HEp-2 Specimen Image Classification
Arnold Wiliem, Peter Hobson, Brian C. Lovell
Recently, there has been a growing interest in developing Computer Aided Diagnostic (CAD) systems for improving the reliability and consistency of pathology test results. This pape…
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Vikas Reddy, Conrad Sanderson, Andres Sanin +1
Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model is almost i…
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection
Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi +1
For covariance-based image descriptors, taking into account the curvature of the corresponding feature space has been shown to improve discrimination performance. This is often don…
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification
Azadeh Alavi, Arnold Wiliem, Kun Zhao +2
Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian manifolds can lead to in…
Matching Image Sets via Adaptive Multi Convex Hull
Shaokang Chen, Arnold Wiliem, Conrad Sanderson +1
Traditional nearest points methods use all the samples in an image set to construct a single convex or affine hull model for classification. However, strong artificial features and…