Sponsors

Recommended
  • Rule 34
    Rule 34
    by Charles Stross

    Stross delves into a possible future where 3D printers become commonplace - and explores the problems that could result. 

  • Printing in Plastic: Build Your Own 3D Printer (Technology in Action)
    Printing in Plastic: Build Your Own 3D Printer (Technology in Action)
    by James Floyd Kelly, Patrick Hood-Daniel
  • 3Dconnexion SpaceNavigator SE (Standard Edition) 3D Navigation Device USB ( 3DX-700028 )
    3Dconnexion SpaceNavigator SE (Standard Edition) 3D Navigation Device USB ( 3DX-700028 )
    3D Connexion
  • The Homebrew Industrial Revolution: A Low-Overhead Manifesto
    The Homebrew Industrial Revolution: A Low-Overhead Manifesto
    by Kevin A. Carson
  • Mastering Blender
    Mastering Blender
    by Tony Mullen
  • Kindle Wireless Reading Device (6
    Kindle Wireless Reading Device (6" Display, Global Wireless, Latest Generation)
    Amazon.com
  • Blender 3D 2.49 Incredible Machines
    Blender 3D 2.49 Incredible Machines
    by Allan Brito
  • Makers
    Makers
    by Cory Doctorow
  • 3Dconnexion SpacePilot PRO - 3D motion controller - 31 button(s) - wired - USB
    3Dconnexion SpacePilot PRO - 3D motion controller - 31 button(s) - wired - USB
    3D Connexion
« The Society for Printable Geography | Main | Mineways! »
Monday
Jan162012

True 3D Scanners for Phones?

Developments at MIT by professor Vivek Goyal may lead to very inexpensive and ubiquitous 3D scanning equipment, perhaps even embedded in your mobile phone. A dream for many 3D printer owners is the ability to capture 3D shapes efficiently. Today one must use very expensive 3D scanners or be satisfied with rudimentary solutions such as jury-rigged Microsoft Kinects. 
 
But Goyal's work may change things. The problem is to collect distance information for each and every pixel in an image, from which a 3D model can be constructed. Typical solutions of today involve multiple or moving lasers that time light pulses to calculate distances. The MIT team discovered a way to use a single light detector that reduces the number of light pulses by 95%. Adding in some additional mathematics permits resolution of as little as 2mm. 
 
Now, imagine a world where one could quickly capture 3D models just by pointing your mobile phone at a stationary object. An app could quickly send that model off to a 3D print service or perhaps your home 3D printer, thus reproducing the object by the time you get home!
 
Via MIT and PhysOrg