An Optimal Template Matching with Scaling and Rotation

Abstract

This paper will discuss how to obtain the transformation relationship from two similar images In this paper The transformation relationship is rotation translation rotation and scaling One image is subtracted from another image by subtracting the RGB value of each pixel of the image from the first point to the last point of the image subtract sequentially If the result of the comparison is generally black it means that the two images are similar and the transformation relationship is correct In the second chapter it will introduce some mathematical model including the least square method and gradient descent In the third chapter the transformation is set to be discussed in case of rotation translation rotation and scaling that is in the known transformation relationship Then we want to discuss if the rotation angle and scaling become larger the result is still correct In the forth chapter two images are actually taken so the transformation relationship is unknown We want to check the result is correct In the fifth chapter there are some applications and conclusions

Date of Award	2020
Original language	English
Supervisor	Shih-Yu Shen (Supervisor)