Wearable Visual Information
Systems (VINST)
KTH/Lund University
Recognition and
Localization and
classification
map building
To be demonstrated on data
collected from wearable cameras
System demonstrators
Visual diaries
Localization and
map building
Where was this image
taken?
Lund University / Centre for Mathematical Sciences/ Mathematical Imaging Group
Lund: Localization and map-building
Map building and
3D reconstruction
(Offline)
Matching images to model and
estimating position and orientation
(Online)
Visual 3D industry
3D Maps
Games
The VINST project in the context of national
and international industrial activities
VINST project
KTH
● Omid Aghazadeh
● Miroslav Kobetski
● Magnus Burenius
● Vahid Kazemi
● Oscar Danielsson
Swedish Industry
●
●
●
●
Lund
● Jan Erik Solem (lec.)
● Yubin Kuang
● Klas Josephsson
● Martin Byröd
●
●
●
KTH startups
13:th lab
Volumental
Lund startups
Polar Rose
Mapillary
Hövding
Other Swedish
C3
Tobii Technology
The VINST project in the context of national
and international industrial activities
VINST project
KTH
● Omid Aghazadeh
● Miroslav Kobetski
● Magnus Burenius
● Vahid Kazemi
● Oscar Danielsson
Swedish Industry
●
●
●
●
●
●
●
●
Lund
● Jan Erik Solem (lec.)
● Yubin Kuang
● Klas Josephsson
● Martin Byröd
KTH startups
13:th lab
Volumental
International Industry
●
●
●
Lund startups
Polar Rose
Mapillary
Hövding
Other Swedish
C3
Tobii Technology
Occulus Rift
Apple maps
Apple
Google Research Labs
The VINST project in the context of national
and international industrial activities
VINST project
KTH
● Omid Aghazadeh
● Miroslav Kobetski
● Magnus Burenius
● Vahid Kazemi
● Oscar Danielsson
Swedish Industry
●
●
●
●
●
●
●
●
Lund
● Jan Erik Solem (lec.)
● Yubin Kuang
● Klas Josephsson
● Martin Byröd
KTH startups
13:th lab
Volumental
International Industry
●
●
●
Lund startups
Polar Rose
Mapillary
Hövding
Other Swedish
C3
Tobii Technology
Occulus Rift
Apple maps
Apple
Google Research Labs
Jan Erik Solem (lec.)
Visual classification
Deep Learning
Deep learning has emerged as a major tool in the field of machine learning .
For the problem of visual classification it has boosted performance substantially in the last
two years.
Deep Learning
Deep learning has emerged as a major tool in the field of machine learning .
For the problem of visual classification it has boosted performance substantially in the last
two years.
Deep learning means that the algorithm for extracting information from data is learnt by
providing large sets of annotated examples
Deep Learning
Deep learning has emerged as a major tool in the field of machine learning .
For the problem of visual classification it has boosted performance substantially in the last
two years.
Deep learning means that the algorithm for extracting information from data is learnt by
providing large sets of annotated examples
Training Multi Layer Convolutional
Network with
60 Million parameters
Imagenet
database
One million images
collected and
annotated from
internet
Annotated
output
Object recognition performance
V
KTH activities