Some graphic skills that could do wonders to Picasa

Via an entry on the Google Code blog, Announcing OpenVis3d, which pointed out that Google is "very interested in computer vision and graphics", I was led on to this Google job opening for a Software Engineer, Computer Vision and Graphics.

There's an impressive list of technologies listed there, and although I rather think this is position is about Google Earth (the clue is perhaps in the question "would you like to build the largest image ever, a petapixel multi-resolution 3D mosaic of the earth using a few thousand computers and millions of source images?"), more than a few of them could be applied to Picasa with good effect.

The list includes

• image stitching - [yes please, it would be great if Picasa could help form panoramics and other stiched images easily]

and a whole load of techniques to help understanding what the picture might contain, to make searching images more precise

• structure from motion or shading
• object detection
• document image understanding
• pattern recognition

Picasa has a couple of "experimental" menu options that allow for searching based somewhat on the content of the images - the search by colour, and the "find duplicates" options, but these are fairly easly attributes of an image to work out.  Deeper understanding of what an image contains, such as objects or text, will add considerably to the search abilities of the program, and indeed at the time of the Neven Vision acquisition, the stated aim was that this facial and object recognition technology would find a place within Picasa.