As I described in one of my recent posts, we have found that practically we achieved results comparable with human intelligence in terms of generalization of pattern recognition. Picollator is able to find the photo by the artwork. You may watch the video containing true example of how Picollator has found a real photo of a young lady using a drawing being made in real time, at Youtube http://www.youtube.com/watch?v=ZfVgH56TRkI .Here I am commenting the video. The full situation was following: I met with a painter and asked him if he can make a realistic portrait of any pretty girl from his memory but inside very limited time limits. He said yes, we appointed another meeting. He have started from zero, and made first lines by a pencil on a sheet of paper. Then he spent something about 40 minutes, working by the pencil and coal both. Finally, I asked him to make a snapshot of the portrait by my mobile phone, upload the image to www.picollator.comwebsite and estimate the results. Fortunately (what I really expected!) Picollator has found that very girl who was his virtual model. Unfortunately 
with another gentleman in that picture. I may say that the painter was deeply impressed, and said that it reminds some Greek myths that a machine can recognize the artwork and even more impressive that it recognized the drawing. The process has been captured by the camcorder, and the movie has been slightly changed just to cut time delays (the whole process of making the drawing lasted more than 40 min). So we did not do any tricks.
I think it is one of the best proofs of the power of our technology, taking into account that:
a. It is well-known that artworks associations is a top of the tops of human intelligence solely
b. I do not know any other system which is able to process the arbitrary artwork taken from the external media by poor mobile phone camera
c. We have plenty of other similar examples (one of them with Mr Voltair’s portraits can be found at the Picollator homepage), so it is not a random case.
I think that galleries, museums and private collections could use such technique to manage assets.
