EHCI Updates - Version 0.4 has just been released

(check project site at http://code.google.com/p/ehci)
EHCI (Enhanced Human Computer Interface) now features packaging through a tarball. Installation is supposed to be as simple as configure, make, make install. Besides easier installation, the new version has several features, like:

- New features:

• Hand detection/tracking: now users can interact with the computer using their hands (notice that no accessory besides an ordinary web cam is being used).
  

The result can also be seen in a noisier environment in this video.

• Enhanced lightning model/more robust algorithm: this video shows the new lightning model, as well as the 6 degrees of freedom head tracking in a noisy environment.

- New API:

• EHCI's new API focuses simple functions, so that developers can completely abstract the OpenCV layer. Example functions:

while(1){
ehciLoop(EHCI2DFACEDETECT,0);
getHeadBounds(&upperX,&upperY,&headWidth,&headHeight);
}

- Installation procedure:

• Autotools based installation is now available: a simple ./configure ./make ./make install should be enough to get developers able to use EHCI library
• A distribution tarball is easily downloadable from ehci project site
  

- Updated documentation:

• new demos (simple2d and simple3d)
• cleaned up code (boxView3d and 6dofhead have been cleaned up)
• tutorials have been posted on project wiki
  
• the project now features doxygen documentation

- Robust algorithms:

• 6 degrees of freedom now considers up to 200 feature points to track, which provides better tracking
• Enhancements to the algorithm have been researched and are on the way and documented
  

- Lightning model working:

• 6 degrees of freedom sample now considers normals for accurate lighting
• Blending functions as well as a single glut layer have been added

- Tagged versions:

• SVN tag directory is being updated accordingly

- Python bindings:

• Python bindings are on the way. SWIG is being researched, as well as some drafts have been developed.