hdachev / blam

A camera and projector calibration toolkit for Blender that also does automatic 3D reconstruction of geometry with rectangular faces.

What is this?

This is BLAM, a camera and video projector calibration toolkit for Blender in the form of an add-on, written in python, that facilitates modeling based on photographs.

To get development progress updates, either check back here regularly or follow me on Twitter.

Bugs can be reported here.

Getting started

1. Download the latest release, decompress the file and locate the actual add-on file src/blam.py.
2. Install
3. Check out the introduction video, this tutorial video and read the user's guide.

Getting involved

The easiest way to get involved is testing the add-on and providing bug reports. This blenderartists thread is a good place to provide other kinds of input, like feature suggestions

If you're interested in helping out on the coding side, let me know.

Getting nerdy

• The focal length and camera orientation estimation is based on Using Vanishing Points for Camera Calibration and Coarse 3D Reconstruction from a Single Image by E. Guillou, D. Meneveaux, E. Maisel, K. Bouatouch.
• The algorithm for 3D reconstruction of rectangle based geometry is an extension of the AC algorithm described in Recovery of Intrinsic and Extrinsic Camera Parameters Using Perspective Views of Rectangles by T. N. Tan, G. D. Sullivan and K. D. Baker.
• BLAM does least squares solution of systems of linear equations using the pure python linear algebra routines available here and does not depend on external packages such as scipy.