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CWIN17 telford facial recognition demystified - les frost
1.
Facial Recognition Demystified Telford,
27/09/2017,Les Frost V7
2.
2Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Introductions Les Frost Senior Technical Architect. Capgemini http://linkedin.com/in/les-frost https://twitter.com/lesf99
3.
3Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Agenda • Why is image recognition important? • How we teach computers to recognise images • Deep learning and neural networks explained • Facial recognition is now practical and affordable • Business applications • Building blocks – cloud services, frameworks, data sets, GPUs • Image Recognition hackathon • Conclusions
4.
4Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Why is image recognition important to business? Facebook research last year published the results of it’s study into “dog people” and “cat people” using image recognition As consumers increasingly communicate using image-centric social media platforms, they’re creating a vast new knowledge base about their identities, brand preferences, shopping habits and more that every marketer will be able to learn from The marketing ramifications of being able to identify non-self-identified cat and dog owners are huge, given the pet food market is worth $24 billion in the U.S.
5.
5Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 What do you see?
6.
6Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 What does a computer “see”?
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7Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 How do we teach a computer to understand pictures? Deep Learning Convolutional Neural networks
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8Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Deep Learning and Convolutional Neural Networks Machine learning uses generic algorithms that can tell you something interesting about a set of data without you having to write any custom code. The same classification algorithm used to recognize handwritten numbers could also be used to classify animals into dogs or cats without changing a line of code. Deep learning is a subset of machine learning that uses algorithms based on neural networks. Convolutional Neural Networks (CNN, or ConvNet) is a class of deep neural networks successfully applied to analysing visual imagery and natural language processing.
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9Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 A toy Convolutional Neural Network: X’s and O’s X or OCNN A two-dimensional array of pixels
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10Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 For example CNN X CNN O
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11Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Trickier cases CNN X CNN O
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12Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Deciding is hard ?
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13Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 What computers see ?
14.
14Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X -1 -1 -1 -1 X X -1 -1 X X -1 -1 X X -1 -1 -1 -1 X 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 X -1 -1 -1 -1 X X -1 -1 X X -1 -1 X X -1 -1 -1 -1 X -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 What computers see
15.
15Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Computers are literal x
16.
16Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 ConvNets match pieces of the image = = =
17.
17Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1 Features match pieces of the image
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18Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1
19.
19Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1
20.
20Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1
21.
21Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1
22.
22Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1
23.
23Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The maths behind the match
24.
24Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Filtering: The maths behind the match 1. 2. 3. 4.
25.
25Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The maths behind the match
26.
26Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
27.
27Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
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28Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
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29Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
30.
30Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
31.
31Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
32.
32Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
33.
33Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
34.
34Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
35.
35Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 1 1 1 1 1 1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
36.
36Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
37.
37Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
38.
38Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 -1 1 1 1 -1 1 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Filtering: The math behind the match
39.
39Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 1 1 1 -1 1 1 Filtering: The math behind the match 55 1 1 -1 1 1 1 -1 1 1
40.
40Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Convolution: Trying every possible match 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
41.
41Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 Convolution: Trying every possible match = 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
42.
42Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1 -1 -1 -1 1 -1 -1 -1 1 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 = 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.11 0.33 -0.77 1.00 -0.77 0.33 -0.11 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 = = -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
43.
43Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Convolution layer 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 1 -1 -1 -1 1 -1 -1 -1 1 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.11 0.33 -0.77 1.00 -0.77 0.33 -0.11 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1
44.
44Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Pooling: Shrinking the image stack 1. 2. 3. 4.
45.
45Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
46.
46Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
47.
47Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 0.55 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
48.
48Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 0.55 0.33 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
49.
49Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 0.55 0.33 0.33 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
50.
50Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 0.55 0.33 0.33 1.00 0.33 0.55 0.55 0.33 1.00 0.11 0.33 0.55 0.11 0.77 Pooling 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
51.
51Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 1.00 0.33 0.55 0.33 0.33 1.00 0.33 0.55 0.55 0.33 1.00 0.11 0.33 0.55 0.11 0.77 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.11 0.33 -0.77 1.00 -0.77 0.33 -0.11 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 0.33 0.55 1.00 0.77 0.55 0.55 1.00 0.33 1.00 1.00 0.11 0.55 0.77 0.33 0.55 0.33 0.55 0.33 0.55 0.33 0.33 1.00 0.55 0.11 0.55 0.55 0.55 0.11 0.33 0.11 0.11 0.33
52.
52Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Pooling layer 1.00 0.33 0.55 0.33 0.33 1.00 0.33 0.55 0.55 0.33 1.00 0.11 0.33 0.55 0.11 0.77 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.11 0.33 -0.77 1.00 -0.77 0.33 -0.11 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 0.33 0.55 1.00 0.77 0.55 0.55 1.00 0.33 1.00 1.00 0.11 0.55 0.77 0.33 0.55 0.33 0.55 0.33 0.55 0.33 0.33 1.00 0.55 0.11 0.55 0.55 0.55 0.11 0.33 0.11 0.11 0.33
53.
53Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Normalization
54.
54Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Rectified Linear Units (ReLUs) 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 0.77
55.
55Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 0.77 0 Rectified Linear Units (ReLUs) 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
56.
56Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 0.77 0 0.11 0.33 0.55 0 0.33 Rectified Linear Units (ReLUs) 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
57.
57Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 0.77 0 0.11 0.33 0.55 0 0.33 0 1.00 0 0.33 0 0.11 0 0.11 0 1.00 0 0.11 0 0.55 0.33 0.33 0 0.55 0 0.33 0.33 0.55 0 0.11 0 1.00 0 0.11 0 0.11 0 0.33 0 1.00 0 0.33 0 0.55 0.33 0.11 0 0.77 Rectified Linear Units (ReLUs) 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77
58.
58Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 ReLU layer 0.77 0 0.11 0.33 0.55 0 0.33 0 1.00 0 0.33 0 0.11 0 0.11 0 1.00 0 0.11 0 0.55 0.33 0.33 0 0.55 0 0.33 0.33 0.55 0 0.11 0 1.00 0 0.11 0 0.11 0 0.33 0 1.00 0 0.33 0 0.55 0.33 0.11 0 0.77 0.33 0 0.11 0 0.11 0 0.33 0 0.55 0 0.33 0 0.55 0 0.11 0 0.55 0 0.55 0 0.11 0 0.33 0 1.00 0 0.33 0 0.11 0 0.55 0 0.55 0 0.11 0 0.55 0 0.33 0 0.55 0 0.33 0 0.11 0 0.11 0 0.33 0.33 0 0.55 0.33 0.11 0 0.77 0 0.11 0 0.33 0 1.00 0 0.55 0 0.11 0 1.00 0 0.11 0.33 0.33 0 0.55 0 0.33 0.33 0.11 0 1.00 0 0.11 0 0.55 0 1.00 0 0.33 0 0.11 0 0.77 0 0.11 0.33 0.55 0 0.33 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 0.77 -0.11 0.11 0.33 0.55 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.11 -0.11 0.11 -0.11 1.00 -0.33 0.11 -0.11 0.55 0.33 0.33 -0.33 0.55 -0.33 0.33 0.33 0.55 -0.11 0.11 -0.33 1.00 -0.11 0.11 -0.11 0.11 -0.11 0.33 -0.11 1.00 -0.11 0.33 -0.11 0.55 0.33 0.11 -0.11 0.77 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.11 0.33 -0.77 1.00 -0.77 0.33 -0.11 0.11 -0.55 0.55 -0.77 0.55 -0.55 0.11 -0.55 0.55 -0.55 0.33 -0.55 0.55 -0.55 0.33 -0.55 0.11 -0.11 0.11 -0.55 0.33
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59Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Layers get stacked -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1.00 0.33 0.55 0.33 0.33 1.00 0.33 0.55 0.55 0.33 1.00 0.11 0.33 0.55 0.11 0.77 0.33 0.55 1.00 0.77 0.55 0.55 1.00 0.33 1.00 1.00 0.11 0.55 0.77 0.33 0.55 0.33 0.55 0.33 0.55 0.33 0.33 1.00 0.55 0.11 0.55 0.55 0.55 0.11 0.33 0.11 0.11 0.33
60.
60Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Deep stacking -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1.00 0.55 0.55 1.00 0.55 1.00 1.00 0.55 1.00 0.55 0.55 0.55
61.
61Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer 1.00 0.55 0.55 1.00 0.55 1.00 1.00 0.55 1.00 0.55 0.55 0.55 1.00 0.55 0.55 1.00 1.00 0.55 0.55 0.55 0.55 1.00 1.00 0.55
62.
62Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 1.00 0.55 0.55 1.00 1.00 0.55 0.55 0.55 0.55 1.00 1.00 0.55
63.
63Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.55 1.00 1.00 0.55 0.55 0.55 0.55 0.55 1.00 0.55 0.55 1.00
64.
64Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
65.
65Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
66.
66Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
67.
67Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
68.
68Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
69.
69Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
70.
70Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fully connected layer X O 0.9 0.65 0.45 0.87 0.96 0.73 0.23 0.63 0.44 0.89 0.94 0.53
71.
71Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Putting it all together -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
72.
72Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Learning
73.
73Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Backpropagation -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
74.
74Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Right answer Actual answer Error X 1 O Backprop -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
75.
75Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Right answer Actual answer Error X 1 0.92 O Backprop -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
76.
76Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Right answer Actual answer Error X 1 0.92 0.08 O Backprop -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
77.
77Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Right answer Actual answer Error X 1 0.92 0.08 O 0 0.51 0.49 Backprop -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O
78.
78Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Backprop -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 -1 -1 1 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 X O Right answer Actual answer Error X 1 0.92 0.08 O 0 0.51 0.49 Total 0.57
79.
79Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Gradient descent weight error
80.
80Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Gradient descent weight error
81.
81Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Example training session
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82Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 What does the designer get to decide? • • • • • • • • • • •
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83Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Layers in the CNN progressively recognise faces and objects
84.
84Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Why have neural networks become practical? • • • •
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85Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Facial Expression • • •
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86Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Facial Recognition
87.
87Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Classification of skin cancer
88.
88Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Plant Disease classification
89.
89Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Fashion Search
90.
90Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Distracted Drivers
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91Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Parking Space Detection
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92Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Car Steering
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93Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Building blocks – Cloud Services, Frameworks, Data sets, GPUs • https://www.ibm.com/watson/services/visual-recognition/ • https://aws.amazon.com/rekognition/ • https://www.tensorflow.org/ • https://azure.microsoft.com/en-gb/services/cognitive-services/face/ • https://www.fastcompany.com/40428910/facebooks-image-recognition-tech-is- teaching-40000-images-a-second-to-understand-context • • https://en.wikipedia.org/wiki/List_of_datasets_for_machine_learning_research • • http://www.nvidia.com/object/gpu-cloud-computing.html • https://aws.amazon.com/ec2/elastic-gpus/ • http://cloud.google.com/gpu
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94Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Hackathon Challenge User Stories: • 1 – Recognise CWIN17 attendees from their photograph • 2 – Recognise objects in images. Knives, guns and cows • 3 – Research solutions to solve the following problems: o Are there any spaces in the car park? o Are you driving safely? o Are you happy with your purchase? o How many cars are passing a point and is there traffic congestion? o That’s a nice watch she’s wearing. What sort is it because I’d like to buy one o Face recognition in streaming video o Predict the steering angle of a self-drive car based on video feed of the road ahead
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95Copyright © 2016
Capgemini and Sogeti. All Rights Reserved. Facial Recognition Demystified | 27/09/2017 Conclusions • • • • •
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