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scientificmission.htm
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<!doctype html>
<html lang="en" class="no-js">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link rel="shortcut icon" type="image/png" href="favicon.png"/>
<title>Visual Machines Group</title>
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<br>
<main role="main" class="container">
<div class="row">
<div class="col-md-12">
<p class="heading-home">Mission Statement</p>
</div>
</div>
<div class="row">
<div class="col-md-8">
<p class="body">
We give the gift of sight to machines. We do this by building computational imaging systems that tightly couple computer algorithms (CS) and imaging hardware (ECE). If successful, computational imaging has the potential to unleash an era of superhuman robotics.
</p>
<p class="body">
Imagine if search-and-rescue robots could one day sense survivors through dense smoke.
</p>
<p class="body">
Imagine if surgical robots could perform impossible surgeries by seeing details invisible to a human doctor.
</p>
<p class="body">
To work towards these dreams, our lab focuses on three technical
pillars that we push, explore and test.
</p>
</div>
<div class="col-md-4 image-wrapper">
<img src="img/camera.png" class="img-responsive">
</div>
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<div class="col-md-12">
<p class="heading-home">Three Pillars of Our Lab</p>
<br>
<p class="sub-heading">Pillar I: Computational Imaging</p>
<p class="body">
A computational imaging system tightly integrates software
processing and optical capture to form novel imagery. Our group
builds computational imaging systems that can see through scattering
media, around corners, and more. We study visual constructs like
light fields, time of flight imaging, polarization, and coherent
optics. These constructs are parsed using signal processing and
numerical methods. ECE 239 is a new UCLA course that covers the
nascent field of computational imaging
</p>
<br>
<p class="sub-heading">Pillar II: Computational Robotic Imaging</p>
<p class="body">
In an approach we call “computational robotic imaging”, we generalize
pillar I to a co-design of algorithms, optics and robotics. Inspired
by the diversity of animal eyes, we believe that vision systems will
evolve with the needs of robots. Imagine if a self-driving car had a
vision system that could see obstacles before it turned a corner.
</p>
<br>
<p class="sub-heading">Pillar III: Computational Health Imaging</p>
<p class="body">
With an expertise in algorithms and optics, we build imaging systems
for healthcare applications. Imagine the possibility of imaging
through scattering media, like biological tissue. Ordinarily one has
had to use X-rays or MRI. However, it might be possible to use novel
optical and computational methods, like speckle or transient inversion
to see deeper through the skin. The method at right is able to see
deep subsurface veins (to identify blood clots), using spatially coded
visible light. Imagine if similar techniques could be used as a
low-cost, high throughput screening method for cancers.
</p>
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