Kinect-based turntable 3D scanner looks very promising

posted Aug 10th 2011 1:01pm by Mike Szczys
filed under: Kinect hacks

We know that the appearance of the Kinect 3D camera hardware, and subsequent open source driver hacking conquest, is a game-changer that brings the real world into much closer contact with the virtual world. But it still amazes us when we see a concept like this turntable-based 3D object scanner that works so incredibly well.

The concept is extremely simple. A box made from foamboard rests atop a turntable. At its center is the object you wish to scan being well-lit by a small LED light source at each upper corner of the box. First up some code and capture data about the sides and top of the object as it spins. To put the shoe back together in the virtual world, he used a modified version of RGBDemo v0.6.0, a Kinect focused project written by Nicolas Burrus.

[A.J] says that the scan comes out pretty well after just one pass, but that’s not stopping him from setting his sights on making this work with three of four Kinects at once. Don’t forget to check out his video demonstration which is embedded after the break.

Microsoft Kinect Turntable 3D Scanner

Video Link...
http://www.youtube.com/watch?v=V7LthXRoESw

tagged: 3d scanner, Kinect, rgbdemo

Go there...
http://hackaday.com/2011/08/10/kinect-based-turntable-3d-scanner-looks-very-promising/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+hackaday%2FLgoM+%28Hack+a+Day%29&utm_content=Google+Feedfetcher

Kinect RGBDemo v0.6.0

(redirected from Research.KinectRgbDemoV3)

Demo software to visualize, calibrate and process Kinect cameras output

Demo software to visualize, calibrate and process Kinect cameras output

This software was partly developed in the RoboticsLab and aims at providing a simple toolkit to start playing with Kinect data and develop standalone computer vision programs without the hassle of integrating existing libraries. The project is divided in a library called nestk and some demo programs using it. The library itself is easy to integrate to an existing project using cmake: just copy the nestk folder as a subfolder of your project and you should be able to start working with Kinect data. You can get more information on the nestk page.

Current features include:

Grab kinect images and visualize / replay them
Support for libfreenect and OpenNI/Nite backends
Extract skeleton data / hand point position (Nite backend)
Integration with OpenCV and PCL
Multiple Kinect support and calibration
Calibrate the camera to get point clouds in metric space (libfreenect)
Export to meshlab/blender using .ply files
Demo of 3D scene reconstruction using a freehand Kinect
Demo of people detection and localization
Demo of gesture recognition and skeleton tracking using Nite
Demo of 3D model estimation of objects lying on a table (based on PCL table top object detector)
Demo of multiple kinect calibration
Linux, MacOSX and Windows support