G-Research & The Alan Turing Institute presents: Machines That See

A lecture given by Research Director for the Alan Turing Institute and former Laboratory Director of Microsoft Research (Cambridge), Prof. Andrew Blake: The visible world is ambiguous, so estimating physical properties by machine vision relies on probabilistic methods. Prior distributions over shape can help significantly to make finding and tracking objects more robust. Learned distributions for colour and texture make the estimators even more discriminative. These ideas fit into a philosophy of vision as inference: exploring hypotheses for the contents of a scene that explain an image as fully as possible.

Visit the G-Research Hub »

Added: Over a year ago

To embed this video into your own website, copy and paste the code below.

More video from G-Research

G-Research Lecture with Professor Michael I. Jordan on Artificial Intelligence

The G-Research Lecture Series returns with this specially commissioned...

Watch videos from other companies...

Enabling innovative people

We take pride in our globally recognised position as the leading technology...

Touching lives - Improving life

You’ll be amazed how many famous brands are from P&G

Find out more about Imagination Technologies

A brief history and case study

Working at Morgan

Harshad Kulkarni, Applications Development Manager for Morgan Advanced...

Graduate Engineer Edem Dei

Graduate Engineer Edem Dei, part of the Olympic Stadium transformation...

Show more +