Sven Dickinson

A Guide to Convolutional Neural Networks for Computer Vision

Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surv...

Probabilistic and Biologically Inspired Feature Representations

Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of cha...

Computational Texture and Patterns

From Textons to Deep Learning

Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summari...

The Maximum Consensus Problem

Recent Algorithmic Advances

Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical setti...

Covariances in Computer Vision and Machine Learning

Presents an overview of the {\it finite-dimensional covariance matrix} representation approach of images, along with its statistical interpretation. I...

Elastic Shape Analysis of Three-Dimensional Objects

Statistical analysis of shapes of 3D objects is an important problem with a wide range of applications. This analysis is difficult for many reasons, i...

Extreme Value Theory-based Methods for Visual Recognition

A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the "average." From early representations in the brain,...