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3D Reconstruction with Kinect

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Uploaded by on Dec 2, 2010

This video shows the first results for 3D object reconstruction using the depth images from the Microsoft Kinect camera.
Data acquisition is as simple as moving the Kinect around the object of interest.
From there the raw data is processed in a two step algorithm:
1. Superresolution images are computed from several consecutive captured frames.
2. The superresolution images are aligned using a improved version of the global alignment technique from "3D Shape Scanning with a Time-of-Flight Camera - Yan Cui, et.al. CVPR2010".

http://av.dfki.de

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Uploader Comments (dfkivideo)

  • Hi,

    thats cool. WHat do you use for point processing?

    Geomagic GmbH

    Gerd Schwaderer

  • @gerdschwaderer Thank you for your interesting the kinect reconstruction video. There are two main steps on the point cloud processing:

    1. Superresolution - with the superresolution method, we can get a smooth and detail structure object for the moving object

    2. Non-rigid alignment - we can get the final model.

    Currently our researchers are writing a paper about this topic,  "3D Shape Scanning with a Time-of-Flight Camera"

Top Comments

  • Who needs a turntable when you can just walk in circles around an object

  • Please, I need talk with you about this project, I'd like this for a commercial application. Please contact me! jean_c_grim@live.com

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All Comments (17)

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  • Ok does it work on a Mac and were do I get the program

  • According to the paper, they used a ToF camera during the experiments. It's really interesting to see a kinect experiment, though.

  • Hi,

    Can you kindly point to what super-resolution technique you have been applying here?

    Neeraj

  • @trepsta36 Just made my day.

  • the Kinect is not a time of flight camera.

    it's a structured light camera.

    (it projects an IR pattern)

  • Please contact me for a commercial application - brcjackson@gmail.com

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