Post on 13-Apr-2017
transcript
1October 2016
3(r)D Revolution: Advances in Computer Vision and Arti ficial Intel l igence
Sezer Karaoglu, Co-Founder & CTO 3DUniversum
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“As soon as it works, no one calls it AI anymore.” John McCarthy
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AI has succeeded everything that requires ‘thinking’
Simple is complicated!
Still suffers most of what people and animals do ‘without thinking’
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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!
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TodaysFocus!
We want to teach machines how to see!
So they can help us to see better!
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Why it is so difficult for machines to see as we see?
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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!
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DEEP LEARNING
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Data Never Sleeps!
Big Data, Processing Power and Smart Algorithms are the key!
Nvidia GTX Titan X
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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
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Is that it!
Show examples:
Human
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3D Revolution
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Size
Year
Depth sensors are integratedin mobile devices!
3D Revolution
2010 2014 2015-‐2016
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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
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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
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Measurements
Interaction
3D Preview
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Eyewear & Fashion : Exact measurements for optimal fit and tailoring, while being able to preview!
Markets
Scan Faces and Bodies Virtual fitting, recommendation and tailoring
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Real Estate & Home Deco : Digital visits and ‘try furnitures’ at finger tips!
Markets
Scan Rooms - Houses Virtual Tours, Measurements and Refurnishing
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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
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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.
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Live demo