(click here for DAVID 3.x manual)
DAVID is a freeware software that allows you to scan/digitize three-dimensional objects. http://www.david-laserscanner.com
The DAVID Starter-Kit user manual is available as PDF in English, Deutsch, Francais, Italiano.
Sorry, our software cannot automatically adapt to your environment; it needs your help. That's why you should read the manual or at least the following 5 hints:

(Left: New “V3” calibration pattern. Right: Old calibration pattern.)

The Scan Quality Feedback in the Scan Result window will help you optimize your scan conditions.
Those were most critical reasons why our “impatient” beta testers were not immediately successful. But there are more things you have to know about, so you really should consider reading the manual. Especially if your scanning results are not as beautiful as our screenshots and the results presented in our wiki and forum. The manual is not too long…
Many approaches for contact-free measurement techniques for object surfaces and approaches for 3d object reconstruction have been proposed; but often they require complex and expensive equipment. Not least due to the rapidly increasing number of efficient 3d hard- and software system components, alternative low-cost solutions are in great demand. DAVID is such a low-cost system for 3d data acquisition. The only hardware requirements are a simple commercial hand-held laser and a webcam or a standard grayscale camera.
….with Windows 2000/XP/Vista/7 (32/64 bit) and Microsoft .NET Framework 2.0 or higher
Any light source that creates a very thin but bright light plane. A 10-Euro Laser-Level from a home improvement store will be sufficient in many cases, but a focusable laser gives more accurate results.
Although the scanner will work with a cheap webcam, of course you will obtain better results with high quality cameras. Color is only necessary if you want to get a colored texture. Otherwise, you may even get better results with a grayscale camera. The camera MUST come with WDM / DirectShow drivers.
You need a Calibration Corner for calibration of the camera and as background structure during scanning. It must consist of two plain walls / boards which stand in an angle of exactly 90°. For camera calibration, you can find a calibration pattern in the DAVID directory, which you should print out and glue onto the walls / boards.
The following steps show how you can build your Calibration Corner. This example consists of two white flat plastic boards, some adhesive tape, and a printout of the calibration pattern (choose from the Calibpoints… .pdf files that came with the DAVID software). Theoretically, you can print the pattern scaled up or down to any size.
You should measure and remember the “scale” length on the printout because you will need it during camera calibration.
Cut the printout at the thin line marked with a scissors symbol very precisely. In the end, it is very important that the cut edges of the two parts precisely touch each other.
Stick the printouts to the boards so that, when the board will be set up in a 90° angle, the cut edges precisely touch each other.
You can use adhesive tape (preferably matt not glossy), but then the sheet of paper gets wavy after a few days. Therefore, it es better to use adhesive or to use some self-adhesive papers.
Use any precisely rectangular object to set up the two boards in a precise 90° angle. The parts of the gray coordinate system in the lower corner must fit together perfectly! The double marker must be in the lower right corner of the pattern (from the camera's point of view)!
!!! These requirements must be met during camera calibration and scanning !!!
You should glue the boards together using adhesive tape, or better, using angle brackets and screws.
Alternatively, you can simply use the corner of a room as long as the walls are plain, have a precise 90° angle, and allow you to attach the calibration pattern printout(s) so that the cut edges fit together perfectly. Remember that the double marker in the calibration pattern must be in the lower right corner (of the camera image).