Stochastic geometry models in high-level vision

High-Level Computer Vision

In this exercise you will first familiarise yourself with basic image filtering routines. In the second part, you will develop a simple image querying system which accepts a query image as input and then finds a set of similar images in the database. In order to compare images you will implement several distance functions introduced in the lecture and evaluate their performance in combination w...

Models and simulation techniques from stochastic geometry

Stochastic geometry is the study of random patterns, whether of points, line segments, or objects. This course will introduce some key concepts and simulation techniques, and illustrate their use in applications. What follows is a brief overview of the course, which it is hoped will be useful orientation. We will focus on probabilistic aspects; this course is planned to be complementary to that...

Vision in high-level football officials

Officiating in football depends, at least to some extent, upon adequate visual function. However, there is no vision standard for football officiating and the nature of the relationship between officiating performance and level of vision is unknown. As a first step in characterising this relationship, we report on the clinically-measured vision and on the perceived level of vision in elite-leve...

Probabilistic reasoning in high-level vision

High-level vision is concerned with constructing a model of the visual world and making use of this knowledge for later recognition. In this paper, we develop a general framework for representing uncertain knowledge in high-level vision. Starting from a probabilistic network representation, we develop a structure for presenting visual knowledge, and techniques for probability propagation, param...

High - Level Models in Ultrasound