Comparison of Processors for Real-time Homography Computation

Abstract

Homography is one of the most fundamental image geometric transformation techniques. Real-time homography can be used in online learning as a support function. In this study, The homography computations were conducted using only one central processing unit (CPU) and a multiple-core CPU with a graphics processing unit and a field-programmable gate array, with or without a conversion table. We also compared the shooting angles to check whether the characters in the image were recognizable after homography. The angle of photography was changed from 10° to 40° in 2° increments, and optical character recognition technology was used for character recognition.