The below article has been been taken from http://derstandard.at/1263706358271/Start-up-plant-Augmented-Reality-Handy and translated in english.
The start-up QderoPateo has set itself the goal of providing a specially augmented reality (augmented reality, producing AR) and designed mobile phone. Thus, the company wants to prevent the technology gets a bad reputation by immature demonstrations, reports the technology portal GigaOm. ”In the market, many things are referred to as AR, which are not at all,” said QderoPateo co-founder Steve Chao.
A thorn in the eye are particularly Chao AR projects, put on special markers such as bar codes, so that a cell phone recognizes what objects it has in the real world before him. The QderoPateo phone prototype Ouidoo, there should only be in a position of real image recognition. For the World Expo in Shanghai will be able to demonstrate that already.
Powerful special equipment
The Ouidoo then shall be according to the company in a position to determine by triangulation with accelerometers, and GPS gyrometers the position of the user’s ten times more detailed than with GPS alone is the only possible. To handle interactive 3D images that are two gigabytes of RAM and a chipset with two dual-core parallel processors.
Whether indeed the ambitious mobile project is also economically viable remains to be seen. In order to imagine a wider audience, according to the report initially planned QderoPateo an iPhone App called WorldLenns as a demonstration of its technology. On the iPhone however is the same app with AR-rivals such as junaio or Wikitude need to measure.
Image Recognition big goal
The 2009-AR-emerged smartphone applications, as well Layar but do not use markers on the object. However, they rely on GPS positioning and mobile compass to determine the location and thus the seen object. Thus QderoPateo actually ten times higher positioning accuracy can reach, which would be a step forward. A real image recognition is an even more ambitious goal.
For example, Qualcomm is working on a visual environment detection for AR on the phone, but would still set on a timetable for implementation. Even when junaio makers metaio image recognition is seen as a possible long-term solution for precise positioning. If QderoPateo this approach can actually realize as early as 2010, that would probably make a furore in the industry.
