Body of evidence. Measuring the Human body. Michael Stahl SW Validation Architect PerC, Intel. (c) Michael Stahl, 2016,. All Rights Reserved 1 1
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1 Body of evidence Measuring the Human body Michael Stahl SW Validation Architect PerC, Intel (c) Michael Stahl, 2016,. All Rights Reserved 1 1
2 Intel RealSense Technology Human Senses. Natural, Intuitive and Immersive
3 Rear-facing 3D camera (R200) Michael Stahl, 2015, All Rights Reserved 3
4 Rear-facing 3D camera (R200) Source: Intel Developers Forum 2015 presentation Michael Stahl, 2015, All Rights Reserved 4
5 Immersive Shopping Body scan SHOPPING TRANSFORMED (c) Michael Stahl, 2016,. All Rights Reserved 5 5
6 Landscape (c) Michael Stahl, 2016,. All Rights Reserved 6 6
7 Landscape (c) Michael Stahl, 2016,. All Rights Reserved 7 7
8 Retailer Pain Points End Users Pain Points (c) Michael Stahl, 2016,. All Rights Reserved 8 8
9 Immersive Shopping Concepts Size recommendations Fit assessment Virtual mirror (c) Michael Stahl, 2016,. All Rights Reserved 9 9
10 Immersive Shopping Concepts (c) Michael Stahl, 2016,. All Rights Reserved 10 10
11 Immersive Shopping Concepts (c) Michael Stahl, 2016,. All Rights Reserved 11 11
12 DISCOVERY CAPTURE VISUALIZE FIT SUCCESS (c) Michael Stahl, 2016,. All Rights Reserved 12
13 In a virtual world Everybody needs a body
14 Design (c) Michael Stahl, 2016,. All Rights Reserved 14
15 (c) Michael Stahl, 2016,. All Rights Reserved CLO Virtual Fashion 15
16 Fitness (c) Michael Stahl, 2016,. All Rights Reserved 16
17 (c) Michael Stahl, 2016,. All Rights Reserved 17
18 Online SHOPPING Virtual fitting (c) Michael Stahl, 2016,. All Rights Reserved 18
19 (c) Michael Stahl, 2016,. All Rights Reserved 19
20 Gaming (c) Michael Stahl, 2016,. All Rights Reserved 20
21 Health (c) Michael Stahl, 2016,. All Rights Reserved 21
22 Model Capture generation
23 Scanners Booth Hand-held Tablet Smartphone (c) Michael Stahl, 2016,. All Rights Reserved 24
24 Scanners Booth Hand-held Tablet Smartphone (c) Michael Stahl, 2016,. All Rights Reserved 25
25 Scanners Booth Hand-held Tablet Smartphone (c) Michael Stahl, 2016,. All Rights Reserved 26
26 Scanners Booth Hand-held Tablet Smartphone (c) Michael Stahl, 2016,. All Rights Reserved 27
27 Scanners Booth Hand-held Tablet Smartphone (c) Michael Stahl, 2016,. All Rights Reserved 28
28 Body model generation Processing Point cloud (c) Michael Stahl, 2016,. All Rights Reserved 29
29 Body model generation (c) Michael Stahl, 2016,. All Rights Reserved 30
30 Body model generation Processing Processing Point cloud 3D model (c) Michael Stahl, 2016,. All Rights Reserved 31
31 Body model generation Processing Processing Processing Point cloud 3D model Measurements (c) Michael Stahl, 2016,. All Rights Reserved 32
32 Body model generation - challenges This job would be great if we got rid of the users - anonymous IT professional (c) Michael Stahl, 2016,. All Rights Reserved 33
33 Body model generation - challenges What s the weakest link? - Camera? - Software? } A matter of Time & Money Users! (c) Michael Stahl, 2016,. All Rights Reserved 34
34 Body model generation - challenges Users Breathe Move Eat / Don t eat Fail to follow instructions Helpers Scan too fast Aim incorrectly Fail to follow instructions (c) Michael Stahl, 2016,. All Rights Reserved 35
35 Model accuracy
36 Validation s role Measure the accuracy of the body model generated by a system (c) Michael Stahl, 2016, All Rights Reserved 37
37 model Accuracy - challenges What s the Ground Truth?!!! (c) Michael Stahl, 2016,. All Rights Reserved 38
38 Ground truth acquisition (c) Michael Stahl, 2016, All Rights Reserved 39
39 Ground truth acquisition - challenges 26: Tibiale Source: Kouchi, M., Mochimaru, M., Errors in landmarking and the evaluation of the accuracy of traditional and 3D anthropometry, Applied Ergonomics (2010), doi: /j.apergo (c) Michael Stahl, 2016, All Rights Reserved 40
40 Ground truth acquisition - challenges (c) Michael Stahl, 2016, All Rights Reserved Source: ISO (Basic human body measurements for technological design Part 1: Body measurement definitions and landmarks) 41
41 Ground truth acquisition - challenges (c) Michael Stahl, 2016, All Rights Reserved Sources: Left: International Standards for Anthropometric Assessment ; Right: ISO8559 (Garment construction and anthropometric surveys Body dimensions ) 42
42 Ground truth acquisition - challenges (c) Michael Stahl, 2016, All Rights Reserved Sources: International Standards for Anthropometric Assessment 43
43 GT - challenges Manual landmark placement repeatability Intra: Marker-1 Intra: Marker-2 Inter 2 measurers, 3 sets 20 male, 20 female -- combined Measurer-1: 10 years experience Measurer-2: 2 month experience (c) Michael Stahl, 2016, All Rights Reserved Source: Errors in landmarking and effects on accuracy in 3D anthropometry, M.Kouchi & M. Mochimaru ; Digital Human Research Center, Japan AIST
44 GT - challenges Manual measurement repeatability (5 measurements) Measurer-1: 10 years experience Measurer-2: 2 month experience (c) Michael Stahl, 2016, All Rights Reserved MAD = mean absolute difference 45
45 GT - challenges (c) Michael Stahl, 2016, All Rights Reserved Laser Repeatability measurements range (Human-solution s scanner; 4 scans) 46
46 The Human body does not have A true value - Kouchi Makiko and Mochimaru Masaaki, AIST (c) Michael Stahl, 2016, All Rights Reserved 47
47 Validation s role (revised) Measure the accuracy of the body model generated by a system by comparing it to a Ground-Truth model That represents the subject at some point in the past Whose accuracy is known to be problematic On landmarks and measurements we don t all agree on (c) Michael Stahl, 2016, All Rights Reserved 48
48 Tests metrics
49 standard 3D model metrics (c) Michael Stahl, 2016, All Rights Reserved Point-to-Surface: The average distance of points on the tested model from the surface of the GT model 50
50 Standard 3D model metrics Vertex-to-vertex (v2v): A measure of the distance between corresponding vertices on tested model and GT model (c) Michael Stahl, 2016, All Rights Reserved 51
51 Standard 3D model metrics Body parts VS whole body (c) Michael Stahl, 2016, All Rights Reserved 52
52 Standard 3D model metrics Use-case specific (c) Michael Stahl, 2016, All Rights Reserved 53
53 body model metrics Measurement to measurement (m2m): A measure of the difference between corresponding measurements on tested model and GT model (c) Michael Stahl, 2016, All Rights Reserved 54
54 body model metrics Measurement to Measurement Circumference VS lengths What measurements to compare % or cm? Weights Max error thresholds (c) Michael Stahl, 2016, All Rights Reserved 55
55 repeatability Same data A number of scans Hand-held systems: Scan a number of times by the same person Scan a number of times by different people (c) Michael Stahl, 2016, All Rights Reserved 56
56 repeatability (c) Michael Stahl, 2016, All Rights Reserved 57
57 cm repeatability (c) Michael Stahl, 2016, All Rights Reserved 58
58 Hand-held scanners: Environment & scan parameters impact Light Clutter Background Clothing Speed; speed uniformity Distance (c) Michael Stahl, 2016, All Rights Reserved 59
59 Hand-held scanners: Environment & scan parameters impact Light Clutter Background Clothing Speed; speed uniformity Distance (c) Michael Stahl, 2016, All Rights Reserved 60
60 Hand-held scanners: Environment & scan parameters impact Light Clutter Background Clothing Speed; speed uniformity Distance (c) Michael Stahl, 2016, All Rights Reserved 61
61 Eye-balling Cloth simulation Draping (c) Michael Stahl, 2016, All Rights Reserved 62
62 Standards
63 Anthropometrics ISO (Basic human body measurements for technological design Part 1: Body measurement definitions and landmarks) ISO 8559 (Garment construction and anthropometric surveys Body dimensions for the garment industry ) ASTM working group ISAK manual (c) Michael Stahl, 2016, All Rights Reserved 64
64 Virtual fitting In-process: ISO Clothing -- Digital fittings -- Part 1: Vocabulary and terminology used for the virtual human body Clothing -- Digital fittings -- Part 2: Vocabulary and terminology used for attributes of the virtual human body (c) Michael Stahl, 2016, All Rights Reserved 65
65 Scanner accuracy ISO : 3-D scanning methodologies for internationally compatible anthropometric databases 2015 (Part 2): Evaluation protocol of surface shape and repeatability of relative landmark positions (c) Michael Stahl, 2016, All Rights Reserved 66
66 3D Body processing Just started (kickoff happened May 5-6) Led by Intel Three working groups: Business Terminology Body model & associated attributes accuracy Main goal: Interoperability (c) Michael Stahl, 2016, All Rights Reserved 67
67 3D Body processing Fit representation 3D Body scanning A 3D Body Model generation Model user - Online stores C B Models repository Model processing - Cloth fitting + Rendering D E Cloth, garment data (c) Michael Stahl, 2016, All Rights Reserved 68
68 summary
69 summary In a virtual world, body models become pervasive Scanning technology evolving Many open issues related to scanning, landmarks placement, measurements Accuracy metrics influenced by use case, ground truth vagueness, technical challenges Validation is behind: Startups with low validation bandwidth A hard problem Objective methods suffer from lack of GT and agreed-upon metrics A lot of manual ( eye ball ) tests (c) Michael Stahl, 2016, All Rights Reserved 70
70 Thank You! Questions?
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