We mostly use our eyes to extract
information and interact with the world. We develop algorithms so computers can
extract similar information from the world. In my group, we really focus on
extracting geometric information, combining that with semantic information in a way that robots and other devices can understand the world. In the last few years there’ve been
two major areas in Computer Vision. One is geometric Computer Vision—
an area my group is focused on. It’s an area that’s made a
lot of progres for many years, … … but in the last few years
things have really come together. There are robust solutions and
things that really work are being used. You see results in self-driving cars,
in mixed reality, in robitics. An area that had been struggling is
extracting semantic information from images. That’s been revolutionised through
deep neural networks, AI, … … and convolutional neural networks, which
work particularly well on image data. There’s been a ton of progress in that
space. Bringing these two things together … … we can now address many
real-world applications. As a result the industry is really
picking up on Computer Vision. Attendance at our conferences
has increased by a factor of five. So there’s a huge amount of interest,
a huge amount of investment in many areas … … because Computer Vision can now
actually solve real-world problems. First, HoloLens 2 is
way more comfortable. You can just put it on and go in
and out of an immersive experience. But it is also able to understand
a lot more of what’s going on. In particular, the depth camera
can be used not only to “click” things, … … it actually tracks all your fingers
so you can intuitively manipulate … … digital information essentially
as you would do with real-world objects. There area also two small
cameras that look at your eyes. This lets you verify your identity
with biometric authentication. It knows it’s you wearing the device,
so you can access your information. It can also track your eyes so we can
feed the optimal imagery to your eyes … … and also optimise microphone arrays,
making it perfect for speech. When I put it on I have some mics
that pick up the environment … … but I also have two mics very close
to my mouth, so even in a large factory … … I can just whisper and
the device can understand me. One key benefit of the new device,
of course, is that it’s more immersive. The display—the part of the world
that is overlayed with digital information … … is much bigger now. It’s more than
twice as big as the first generation’s. You get much more natural interaction with
the world because more of it is augmented. There’s two things. I think HoloLens 2
is already ready for large markets … … but in a set of specific scenarios
where you put it on, do a task … … when you’re done you put it down again.
That’s the current state of this device. Going forward, we can shrink it
further, make it more immersive. Then it will become just natural
to wear the device all the time. Essentially, if we can get to a glasses
form factor, you’ll wear it all the time. At that point we’ll actually forget it’s
there. Today, we can’t live without smartphones. Five, ten years from now we’ll all wear glasses
that put information before our eyes. We’ll always have access to the information
we need to do whatever it is we do. It will all be very intuitive and natural,
and everyone will have this type of device. What we’re looking at is going from
individual to “in-the-world” experiences. Essentially, we’re going towards
shared mixed-reality experiences. To do that, we need many devices
that are connected to the cloud. The cloud plays a critical role in
combination with the devices. Smart edge devices and smart cloud
together can provide these experiences. Bechtle: Integrate IT. Architect the future.

HoloLens 2 and Computer Vision: Interview with Prof. Marc Pollefeys
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One thought on “HoloLens 2 and Computer Vision: Interview with Prof. Marc Pollefeys

  • November 5, 2019 at 8:10 pm

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