London Computer Vision: Meet #3

Timor Kadir & Lourdes Agapito

Wed 24th January @ One Alfred Place, WC1E 7EB

REgister

Londons largest computer vision meetup

LondonCV was formed in June 2017 by the merging of three separate networking groups 'London Computer Vision & Sensing', 'London Computer Vision & Pattern Recognition' and ‘London Image Processing’.

As an organising team our aim is to build London’s largest networking group in order to facilitate learning and sharing around the state-of-the-art in CV research and application. 

Initially we will be be organising one high-quality free networking event every second month - but more to come soon including the 'LondonCV Insiders'. Register below and watch this space.

LondonCV was formed in June 2017 by the merging of three separate networking groups 'London Computer Vision & Sensing', 'London Computer Vision & Pattern Recognition' and ‘London Image Processing’. As an organising team our aim is to build London’s largest networking group in order to facilitate learning and sharing around the state-of-the-art in CV research and application. Initially we will be be organising one high-quality free networking event every second month - but more to come soon including the 'LondonCV Insiders'. Register below and watch this space.

_NEWS

LondonCV: Meet #3 - Lourdes Agapito & Timor Kadir

We are happy to announce the third London Computer Vision meetup which will take place the 24th of January... read more

LondonCV: Meet #2 - 3D Computer Vision

We are delighted to announce the second London Computer Vision meetup around 3D Vision and Volumetric Capture... read more

Announcing 4 x Meetups for LondonCV mega-group

We are delighted to announce today an exciting line-up for our first 4x London Computer Vision Meetups... read more

_NEXT EVENT

Meet #3: Timor Kadir & Prof. Lourdes Agapito

Prof. Lourdes Agapito - Professor of 3D Vision, UCL; co-founder of Synthesia

Capturing vivid 3D models of the world in motion from video
As humans we take the ability to perceive the dynamic world around us in three dimensions for granted. From an early age we can grasp an object by adapting our fingers to its 3D shape; we can understand our mother’s feelings by interpreting her facial expressions; or we can effortlessly navigate through a busy street. All of these tasks require some internal 3D representation of shape, deformations and motion.

Building algorithms that can emulate this level of human 3D perception has proved to be an extremely hard task. In this talk I will show progress from our early systems which captured sparse 3D models with primitive representations of deformation towards our most recent algorithms which can capture every fold and detail of hands or faces in 3D using as input video sequences taken with a single consumer camera. There is now great short-term potential for commercial uptake of this technology, and I will show applications to robotics and to AI-driven video synthesis.

Timor Kadir - Founder, Optellum

What Machine Learning and AI can do for Healthcare
Timor Kadir graduated with an MEng in Electrical and Electronic Engineering from Surrey University in 1996 and studied for a DPhil at University of Oxford under Sir Michael Brady. He joined CTI/Siemens as a Research Scientist working on computer vision software and in 2009, during a management buy-out, Timor became CTO for Mirada Medical. Most recently, he founded Optellum, a company delivering machine learning based clinical risk stratification. He is currently the CTO of Optellum and visiting fellow at Oxford. He’s published a reasonable number of papers, filed a bunch of patents and his h-index isn’t bad either.

Wednesday 24th January @ 18pm
One Alfred Place, WC1E 7EB, London
Register

_ORGANISERS

John McKenna

CEO @ BeTomorrow

Vassileios Balntas

Postdoc Researcher @ Oxford University

Edward Miller

Co-founder & CEO @ ScapeAR

Victor Riparbelli

Co-founder & CEO @ Synthesia.io

Krystian Mikolajczyk

Professor @ Imperial College London

_CONTACT

Please get in touch if you would like to speak, offer support or just find out more.

e-mail