National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Extracting Control Points from Image Pairs for Perspective Transformation
Hajič, Jakub ; Blažek, Jan (advisor) ; Soukup, Jindřich (referee)
Image registration is a part of many higher level image processing tasks. This thesis presents a novel approach to control point extraction as part of pairwise image registration. In combination with a suitable matching and model estimation algorithm, the extracted points could be used for estimating a global perspective transformation between the images. Our method extracts several features from image patches surrounding every point, and calculates an interest measure based on them. We use a supervised learning algorithm to obtain parameters of this extraction method. A control point matching algorithm is presented which considers the surrounding image patches of the control points and calculates a rotationally invariant similarity measure. We compare the results between our method of control point extraction and the Harris corner detector, and discuss the results of the matching and methods to improve both the matching and the control point extraction.

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