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Aguru Images Partners With XYZ-RGB

Aguru Images, a provider of innovative image capture devices, has formed a strategic partnership with XYZ-RGB, a developer of 3D scanning solutions. The two companies have complementary technologies and plan to jointly produce a unified 3D capture solution for the entertainment market.

"This partnership exploits the very best of XYZ-RGB's high resolution scanning and Aguru Images' texture and color capture technologies," said Craig Miller, Founder and CTO, Aguru Images. "We recently worked together on a studio feature film and it was like chocolate and peanut butter-great individually, but amazing together"

"The Aguru Images Dome light stage technology offers an incredibly innovative solution for achieving true-to-life digital doubles and combined with XYZ-RGB's scanning technologies, offers filmmakers a very compelling way to capture real world materials, props and humans in 3D," said Helmut Kungl, CEO, XYZ-RGB Inc.

The Aguru Dome offers the very highest standard in color and material property measurement, producing superior true-to-life computer generated digital doubles and other real world materials. The Aguru Dome is a production proven solution having been used on the sets of blockbuster films for measurement of faces, heads and many other objects for digital reproduction of actors and materials. The newly released Aguru Dome 2 automatically derives a host of additional detailed information from a performer or scanned object, including diffuse, specular, RGB diffuse normal, and specular normal maps for more accurate digital depictions.

XYZ-RGB uses proprietary imaging technologies to provide high quality 3D scanning solutions, including: an auto-synchronized non-contact laser scanning technology developed by the National Research Council of Canada, numerous high speed structured light scanners for high speed acquisition, photogrammetry for large FOV's and high-speed 4D data acquisition at frame rate speeds. Additionally, these scanning techniques allow for the simultaneous capture of diffuse color with pixel to object registration.