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Jeff Powers, Co-founder & CEO
The Commoditization of Positional Tracking
#AWE2017
Confidential - Do Not Distribute
40+ strong

7 former startup founders
3 original Kinect hackers
TEAM PAST WORK
KEY BACKERS
THE TEAM
San Francisco, CA Boulder, CO
Lynx
ACQUISITIONS
We build hardware for 3D vision.
But today we’re talking about positional tracking software.
But first,

the Toyota Corolla.
1969 Toyota Corolla
The standard of 1969: Oldsmobile
+ Spacious

+ Luxurious

+ Stylish (in 1969)

+ Powerful
- Expensive

- Inefficient
1969 Oldsmobile Cutlass Supreme Holiday Coupe
Along comes the Corolla
• 42% cheaper

+ 50% more efficient
• Fewer parts: manual, no
power steering, no AC
(Less to break)
• 54% smaller
1969 Toyota Corolla
So, how did it end?
2017 Toyota Corolla
• World’s best selling car by 1974
• World’s best selling nameplate by 1997
• 40 million sold worldwide
Oldsmobile
• Declining sales led to GM
shutting down Oldsmobile in
December 2000
Now back to positional tracking.
Positional tracking in Structure SDK since 2015
The evolution of positional tracking
Valve 2014Immersight 2013 Oculus Crystal
Cove 2014
HTC/Valve
Lighthouse 2015
Oculus Positional
Tracking 2016
WorldViz Pre-2000
Next?
2017 and beyond
Microsoft Hololens
2016
SLAM-based tracking is emerging as a competitor.
The future of positional
tracking will rely on SLAM

and world-facing cameras.
✅ No base stations or setup
✅ Multi-user anywhere via shared SLAM maps
✅ Automatic “chaperone” using the map
Why SLAM-based tracking?
❌ No margin for error in algorithms
❌ Expensive: multi-camera, lasers, etc.
❌ Compute-heavy
So why isn’t SLAM-based tracking pervasive?
So, we set out to try to address
some of those challenges.
We started with our RGBD sensor. Depth sensing with multiple
optics and a dedicated ASIC. Too expensive for widest adoption.
Cameras (3): $15 - $60
IMU: $2-$5
Laser Chip: $5-$30
Stereo fisheye cameras + IMU:
Nature’s design, but still too costly to land in every device.
$10-20
$1-5
What about a single camera?
This could pave the way for 6-DoF
tracking in almost every AR/VR device.
$1-5
$5-10
Tracking
Introducing
Monocular
^
Occipital
Tracking Demo
Mono + IMU
Accuracy: very good, constantly improving.
8.5 mm
RMSE
0.48 °
Includes global
scale correction.
Room-scale test vs. Lighthouse
Lighthouse
Occipital
Mono + IMU +
Advanced
Software
Difficult case: Blank walls
Mono + IMU +
Advanced
Software
Difficult case: Very fast movements
Mono + IMU +
Advanced
Software
Difficult case: Items blocking view
Remarkably, it’s already feeling as
good or better than our RGBD
tracking.
But what will it cost?
✅ Obstacle Awareness✅ 6-DoF ✅ Scale Accurate
$10 $7
Up To 10K
Licenses
10K-100K
Licenses
100K+
Licenses
FREE $10 $7
Up To 10K
Licenses*
10K-100K
Licenses
100K+
Licenses
*3% for devices with an MSRP > $700
Our basic positional tracking 

software is free for up to 10K licenses.
Request access now at occipital.com/tracking
Currently on
Success!
But what about applications that can 

afford additional sensing?
Video showing
line detection
Dense depth = magical user experiences
LIVE VIEW OCCLUSION MAP PHYSICS MESH
Dense depth = magical user experiences
Bridge
And beyond.
SemanticPaint (Valentin et al) VolumeDeform (M. Innmann, et al.)
Commoditization of Positional Tracking
• Cheap positional tracking for every device? Yes.
• Full visual AI & scene understanding? Not for a while.
• Today people are scrambling to get 6-DoF, but a year from 

now it’ll be trying to level-up environmental awareness.
Jeff Powers, Co-founder & CEO
Thank you
#AWE2017
@jrpowers
Demo sign up: Room 212

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Jeff Powers (Occipital): The Commoditization of Positional Tracking

  • 1. Jeff Powers, Co-founder & CEO The Commoditization of Positional Tracking #AWE2017
  • 2. Confidential - Do Not Distribute 40+ strong
 7 former startup founders 3 original Kinect hackers TEAM PAST WORK KEY BACKERS THE TEAM San Francisco, CA Boulder, CO Lynx ACQUISITIONS
  • 3. We build hardware for 3D vision. But today we’re talking about positional tracking software.
  • 4. But first,
 the Toyota Corolla. 1969 Toyota Corolla
  • 5. The standard of 1969: Oldsmobile + Spacious
 + Luxurious
 + Stylish (in 1969)
 + Powerful - Expensive
 - Inefficient 1969 Oldsmobile Cutlass Supreme Holiday Coupe
  • 6. Along comes the Corolla • 42% cheaper
 + 50% more efficient • Fewer parts: manual, no power steering, no AC (Less to break) • 54% smaller 1969 Toyota Corolla
  • 7. So, how did it end? 2017 Toyota Corolla • World’s best selling car by 1974 • World’s best selling nameplate by 1997 • 40 million sold worldwide Oldsmobile • Declining sales led to GM shutting down Oldsmobile in December 2000
  • 8. Now back to positional tracking.
  • 9. Positional tracking in Structure SDK since 2015
  • 10. The evolution of positional tracking Valve 2014Immersight 2013 Oculus Crystal Cove 2014 HTC/Valve Lighthouse 2015 Oculus Positional Tracking 2016 WorldViz Pre-2000 Next? 2017 and beyond Microsoft Hololens 2016
  • 11. SLAM-based tracking is emerging as a competitor.
  • 12. The future of positional tracking will rely on SLAM
 and world-facing cameras.
  • 13. ✅ No base stations or setup ✅ Multi-user anywhere via shared SLAM maps ✅ Automatic “chaperone” using the map Why SLAM-based tracking?
  • 14. ❌ No margin for error in algorithms ❌ Expensive: multi-camera, lasers, etc. ❌ Compute-heavy So why isn’t SLAM-based tracking pervasive?
  • 15. So, we set out to try to address some of those challenges.
  • 16. We started with our RGBD sensor. Depth sensing with multiple optics and a dedicated ASIC. Too expensive for widest adoption. Cameras (3): $15 - $60 IMU: $2-$5 Laser Chip: $5-$30
  • 17. Stereo fisheye cameras + IMU: Nature’s design, but still too costly to land in every device. $10-20 $1-5
  • 18. What about a single camera? This could pave the way for 6-DoF tracking in almost every AR/VR device. $1-5 $5-10
  • 21. Accuracy: very good, constantly improving. 8.5 mm RMSE 0.48 ° Includes global scale correction. Room-scale test vs. Lighthouse Lighthouse Occipital
  • 22. Mono + IMU + Advanced Software Difficult case: Blank walls
  • 23. Mono + IMU + Advanced Software Difficult case: Very fast movements
  • 24. Mono + IMU + Advanced Software Difficult case: Items blocking view
  • 25. Remarkably, it’s already feeling as good or better than our RGBD tracking.
  • 26. But what will it cost? ✅ Obstacle Awareness✅ 6-DoF ✅ Scale Accurate
  • 27. $10 $7 Up To 10K Licenses 10K-100K Licenses 100K+ Licenses
  • 28. FREE $10 $7 Up To 10K Licenses* 10K-100K Licenses 100K+ Licenses *3% for devices with an MSRP > $700 Our basic positional tracking 
 software is free for up to 10K licenses. Request access now at occipital.com/tracking Currently on
  • 30. But what about applications that can 
 afford additional sensing? Video showing line detection
  • 31. Dense depth = magical user experiences LIVE VIEW OCCLUSION MAP PHYSICS MESH
  • 32. Dense depth = magical user experiences
  • 34. And beyond. SemanticPaint (Valentin et al) VolumeDeform (M. Innmann, et al.)
  • 35. Commoditization of Positional Tracking • Cheap positional tracking for every device? Yes. • Full visual AI & scene understanding? Not for a while. • Today people are scrambling to get 6-DoF, but a year from 
 now it’ll be trying to level-up environmental awareness.
  • 36. Jeff Powers, Co-founder & CEO Thank you #AWE2017 @jrpowers Demo sign up: Room 212