Abstract
Applying non-linear image transformations in real time remains a challenge for cost-sensitive embedded systems today. This paper offers a method to perform such transformations efficiently using polynomial approximations. It is based on a previously published method, but is not limited to transformations with little vertical variation, such as lens distortion removal. Instead, a wider range of image transformations is supported.Thus, a new, improved hardware architecture is presented and discussed. It can be configured to achieve virtually any required accuracy for practical transformation tasks at low hardware costs. As a proof of concept, the architecture has been integrated into a gesture recognition and gaze analysis system as an intelligent stereo camera delivering undistorted and rectified images.
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