1. Wearable Visual Information Systems (VINST)

2. KTH Lund University Computer Vision Mathematical Imaging
Processing of images from wearable cameras
for:
Localization and way finding
Locating everyday objects
Action memory assistance
Constructing visual diaries
…………..

3. Visual information , communication networks and databases
Wearable
Camera
Internet
Where am I ?
What is this ?
Who is this ?
Personalized
memory
Visual
Information

4. Where am I ? Image database (e.g. panoramas) User’s image
User’s location

5. Who is this ?
Start up companies
Lund  Polar Rose
KTH  OcculusAI

6. What is this ?

7. State of the art Handwritten recognition 95 – 98% License plates
General 3D objects %
Handwritten recognition
95 – 98%
Frontal face recognition
98 – 99%
License plates
Human performance
Specific views 3D objects
95 – 98 %

8. Visual memory for manipulation

9. Visual memory from repeated daily activities
Day 1
Day 2
Registration and novelty
detection from daily repeated visual input
Day 31

10. Understanding visual memory organization
What, where, who, when ?