Realeyes3D


		This page presents an overview of the technology that we have developed. More detailed information may be disclosed to selected individuals under non-disclosure agreement, at Realeyes3D’s sole discretion. Please request more at info@realeyes3d.com.
		Patented, telco-grade technologies



		Extracting text or graphic information from camera phone images presents several challenges. Usage constraints combined with low-cost device specific constraints generate the need for very complex mathematics to achieve the desired results. This is typically difficult to implement, most notably on camera phone platforms, due to the limited resources available. While some of the required processing may be performed by specific hardware, Realeyes3D's focus has been to deliver consumer-grade , software only solutions that can run on a broad range of platforms, are easy to port, download, and update. In this process, Realeyes3D has closely followed camera phone manufacturers’ specifications for memory and CPU utilization, as well as for user interface design and manufacturing integration. Meanwhile, our eyes have been kept on application usability and performance which we regard as two of the most important factors for end-user adoption. Our technology, its implementation in mobile imaging devices, and our applications are all protected by patents (pending).

		Unique challenges



		In order to perform « to specifications », the algorithms implemented in the various Realeyes3D applications must tackle several challenges that are unique to the mobile usage environment. Among these:

		Lighting conditions Using highly variable ambient light is much more difficult for image processing than using a highly controlled, uniform light such as the ones used by a flatbed scanner or in a manufacturing process environment. Shadows, overexposure, underexposure, and other similar problems can occur ; local and global image illumination distortions must be corrected ; variations in brightness and contrast in the scanned image must be accepted.

		Camera angle (tilt & skew) The camera phone user should not be constrained to take pictures of text at a given angle. Because taking pictures at an angle changes the apparent shape of the object to a viewer, the Realeyes3D algorithms work on images distorted from skewed or tilted viewing angles.

		Lens- or CCD/CMOS- induced optical distortions Digital camera modules for camera phones are designed to work at a variety of distances. The need for a wide range of focus in cameras results in a trade-off between the cost of the lens component and the sharpness and geometry of the image. The Realeyes3D algorithms are tolerant to poor focus and local optical image deformations.

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