1October 2016

3(r)D Revolution: Advances in Computer Vision and Arti ficial Intel l igence

Sezer Karaoglu, Co-Founder & CTO 3DUniversum

2

3

“As soon as it works, no one calls it AI anymore.” John McCarthy

4

AI has succeeded everything that requires ‘thinking’

Simple is complicated!

Still suffers most of what people and animals do ‘without thinking’

5

Are robots going to fall in love with us!

• AI  is  good  at  actions  require   thinking

• Love  does  not  require   thinking

• AI  fails  about  love!

6

TodaysFocus!

We want to teach machines how to see!

So they can help us to see better!

7

Why it is so difficult for machines to see as we see?

8

We  do  not  see  with  our  eyes,  we  do  see  with  our  brains!

Reverse Engineering the Human Visual System!

When you cannot beat it, simulate it!

9

DEEP  LEARNING

10

11

Data  Never  Sleeps!

Big Data, Processing Power and Smart Algorithms are the key!

Nvidia GTX  Titan  X

12

Big Data, Processing Power and Smart Algorithms are the key!

Kids  can  learn  numbers  3  to  5  yearsWith  CPU  computer  can  learn  in  6  daysWith  GPU  computer  can  learn  in  2 hours

13

Is that it!

Show  examples:

Human

14

3D Revolution

15

Size

Year

Depth  sensors  are  integratedin  mobile  devices!

3D Revolution

2010 2014 2015-­‐2016

16

We experience the world in 3D!Introduction

What  can  you  tell  about  these  two  images?

3DU has developed unique technology to change thisIntroduction

Person

Object

Space

Software

“Real” world

Precise measurements:

3D Model

Inter-action

Recognition (segmentation)

Insertion(furniture, glasses, helmets, clothing)

Editing (relighting,

replacement)

Competence 3DU: application of high tech Artificial Intelligence and Deep Learning

Output

(webshop, optician, etc)

Scanning equipment

17

3DU has a scalable product and a multi-vertical approachMarkets

3DU

Eyewear Healthcare Real Estate Home Deco Fashion

Initial focus markets

Scanning of heads / faces for optimal

eyewear placement and digital fitting

Scanning and segmentation of

wounds and limbs for homecare and

orthopedics

Scanning of rooms and houses for 3D

viewing

Scanning of rooms and houses for

interaction (redecoration)

Scanning of body parts for optimal fit and digital fitting

rooms

1 2 3 4 5

Measurements

Interaction

3D Preview

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

ü

18

19

Eyewear & Fashion : Exact measurements for optimal fit and tailoring, while being able to preview!

Markets

Scan Faces and Bodies Virtual fitting, recommendation and tailoring

20

Real Estate & Home Deco : Digital visits and ‘try furnitures’ at finger tips!

Markets

Scan Rooms - Houses Virtual Tours, Measurements and Refurnishing

21

Healthcare : Enable well-informed medical decisions without the need to visit a doctor or a hospital!

Markets

Scan Wounds Detection of Wounds Wound Analysis

Area  :  9.86  cm^2

Volume   :  2.90  cm^3

Management & TeamAbout 3DUniversum

Prof. dr. Theo Gevers, CEO

§ 25 years of experience in Image Processing, Computer Vision, Machine Learning and Artificial Intelligence

§ Co-founder 3DUniversum, Sightcorp, VTS

Sezer Karaoglu PhD., CTO

§ 10 years of experience in Image Processing, Computer Vision, Machine Learning and Artificial Intelligence

§ Co-founder 3DUniversum

Management / Founders Supported by a world class international talent pool

Seed Investors

§ In 2015, 3DU raised financing to fund the technological development and commercial start

§ Current investors are NextStage Early Stage Fund &

Emendo Capital§ 3DU attracted government funding from RVO

22

Employees Function BackgroundMorris Franken (0.8 FTE)

Technical ProgrammerAndroid Apps MSc. AI

Daniel Hallin(0.9 FTE)

Technical ProgrammeriOS Apps MSc. AI

Yang Liu(1.0 FTE)

Technical development / R&D PhD.AI / CV

Finde Xumara(1.0 FTE)

Technical development / R&D MSc. AI & CV

Interns Focused area Intern until

Nick de Wolf Object recognition,deep learning (R&D) Aug 2016

Minh Ngo Deep learning pipeline (R&D) Feb 2017

Elena Pnomareva

App development (healthcare) Feb 2017

Partha Das Visualisation (R&D) Feb 2017

Ray Ormesher Facial features (eyewear) Jan 2017

Pipeline of 4 MSc. students AI + 2 bus. dev.

23

Live demo