Search by drawing helps to find your Mr. Big

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Released on: 6, June 2008
, Author: Irina Yakhneeva
, Audience: Internet related

Now it is possible to find photo of the real person in the Internet by painting. Picollator search engine is able to retrieve similar images no matter what type of image they are

Recogmission LLC, the developer of multimedia and web search engine Picollator, has achieved outstanding results in pattern recognition.

It is recognized that the ability to match painted portraits with real faces is the exceptional characteristic of a human brain only. It demonstrates high level of intelligence and capability to generalize from facts. Nevertheless, Picollator technologies deny this stereotype. Picollator search engine allowed to find a number of real human faces, similar to faces on artworks and drawings. The results of Picollator performance are exceptionally promising. The system is able to process an artwork and find real photos of the depicted person, even portraits of a person who lived in the 18th century.

Picollator does not require any prior image processing before uploading into the system. Search engine is able to process any digital files, including digital photos, artworks or drawings, created in any possible way.

The example of how Picollator processes a drawing, is published as video at YouTube. Additional benefit of the system is to scan the whole Internet while other image search engines process a limited amount of web portals or even the only photo sharing site.

Shortly speaking, Picollator gives attractive opportunities for managing image libraries of museums, art galleries and private image collections. Using Picollator technology, image archives obtain the outstanding tool for processing and protecting their assets.

About Company

Recogmission LLC is focused on the development of the indexing and search engine Picollator for global and enterprise multimedia collections. Recogmission has been established in 2006 with the development center located in Samara, Russia.
I
f you need more information about this topic, please call Irina Yakhneeva at
Tel +44 (0) 208 123 6216

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