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Andrea Milanta (andrea.milanta@mail.polimi.it)
Guido Muscioni (guido.muscioni@mail.polimi.it)
Matteo Foglio (matteo.foglio@mail.polimi.it)
Computer vision implementing OpenCV on FPGA
1
Context
2
What is Computer Vision?
“Humans use their eyes and their brains to see and visually
sense the world around them. Computer vision is the science
that aims to give a similar, if not better, capability to a
machine or computer.”
Context
3
The project has been
provided by Bottega52,
a technological startup
that works also in the field
of biomedical image
processing.
Context
3
The project has been
provided by Bottega52,
a technological startup
that works also in the field
of biomedical image
processing.
We will focus on the stitching algorithm that merges
multiple photos in a single one.
Image stitching
1. Capturing
4
Image stitching
1. Capturing
2. Ordering
4
Image stitching
1. Capturing
2. Ordering
3. Merging
4
Stitching requires
a lot of time
Rationals
Quality is
important
5
reduce
Time
improve
Quality
Stitching requires
a lot of time
Rationals
+
Quality is
important
=
5
Hardware identification
6
Intel base board
• Standard for biomedical embedded
devices
• Low price
Intel Atom E8000
Hardware identification
6
AlphaData Kintex Ultrascale
Intel base board
• Standard for biomedical embedded
devices
• Low price
Intel Atom E8000
• Maximum exploit of embarassingly
parallel algorithms, such as those
for image manipulation
FPGA
Hardware identification
The goal of FOCus project is to overcome the limit of Intel
Atom processor via FPGA technology
6
AlphaData Kintex Ultrascale
Intel base board
• Standard for biomedical embedded
devices
• Low price
Intel Atom E8000
• Maximum exploit of embarassingly
parallel algorithms, such as those
for image manipulation
FPGA
How to do it
Algorithm
analysis
Parallelism
optimization
OpenCV Stitching
algorithm
7
How to do it
Algorithm
analysis
Parallelism
optimization
FPGA
Intel
board
OpenCV Stitching
algorithm
Mapping algorithm on
hardware resources
7
Questions?
Guido Muscioni
Bachelor in Computer Science
guido.muscioni@mail.polimi.it
Andrea Milanta
Bachelor in Computer Science
andrea.milanta@mail.polimi.it
FOCus at NECST
facebook.com/FOCusatNECST/
FOCusAtNECST
slideshare.net/FOCusAtNECST/
@FOCusAtNECST
twitter.com/FOCusAtNECST
8
Matteo Foglio
Bachelor in Computer Science
matteo.foglio@mail.polimi.it
Contact us
bitbucket.org/necst/xohw17_f
ocus_public

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OpenCV Stitching FPGA

  • 1. Andrea Milanta (andrea.milanta@mail.polimi.it) Guido Muscioni (guido.muscioni@mail.polimi.it) Matteo Foglio (matteo.foglio@mail.polimi.it) Computer vision implementing OpenCV on FPGA 1
  • 2. Context 2 What is Computer Vision? “Humans use their eyes and their brains to see and visually sense the world around them. Computer vision is the science that aims to give a similar, if not better, capability to a machine or computer.”
  • 3. Context 3 The project has been provided by Bottega52, a technological startup that works also in the field of biomedical image processing.
  • 4. Context 3 The project has been provided by Bottega52, a technological startup that works also in the field of biomedical image processing. We will focus on the stitching algorithm that merges multiple photos in a single one.
  • 7. Image stitching 1. Capturing 2. Ordering 3. Merging 4
  • 8. Stitching requires a lot of time Rationals Quality is important 5
  • 9. reduce Time improve Quality Stitching requires a lot of time Rationals + Quality is important = 5
  • 10. Hardware identification 6 Intel base board • Standard for biomedical embedded devices • Low price Intel Atom E8000
  • 11. Hardware identification 6 AlphaData Kintex Ultrascale Intel base board • Standard for biomedical embedded devices • Low price Intel Atom E8000 • Maximum exploit of embarassingly parallel algorithms, such as those for image manipulation FPGA
  • 12. Hardware identification The goal of FOCus project is to overcome the limit of Intel Atom processor via FPGA technology 6 AlphaData Kintex Ultrascale Intel base board • Standard for biomedical embedded devices • Low price Intel Atom E8000 • Maximum exploit of embarassingly parallel algorithms, such as those for image manipulation FPGA
  • 13. How to do it Algorithm analysis Parallelism optimization OpenCV Stitching algorithm 7
  • 14. How to do it Algorithm analysis Parallelism optimization FPGA Intel board OpenCV Stitching algorithm Mapping algorithm on hardware resources 7
  • 15. Questions? Guido Muscioni Bachelor in Computer Science guido.muscioni@mail.polimi.it Andrea Milanta Bachelor in Computer Science andrea.milanta@mail.polimi.it FOCus at NECST facebook.com/FOCusatNECST/ FOCusAtNECST slideshare.net/FOCusAtNECST/ @FOCusAtNECST twitter.com/FOCusAtNECST 8 Matteo Foglio Bachelor in Computer Science matteo.foglio@mail.polimi.it Contact us bitbucket.org/necst/xohw17_f ocus_public

Editor's Notes

  1. Non è chiarissimo però è il massimo.
  2. Timing constraints