Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features

<p>In criminal investigations it is not uncommon for investigators to obtain a photograph or image that shows a crimebeing committed. Additionally thousands of pictures may exist of a location taken from the same or varying viewpoints.Some of these images may even include a criminal suspect or witness. One mechanism to identify criminals and witnessesis to group the images found on computers cell phones cameras and other electronic devices into sets representing thesame location. One or more images in the group may then prove the suspect was at the crime scene before duringand/or after a crime. This research extends three image feature generation techniques the Scale Invariant Feature Transform (SIFT) the Speeded Up Robust Features (SURF) and the Shi-Tomasi algorithm to group images based onlocation. The image matching identifies keypoints in images with changes in the contents viewpoint and individualspresent at each location. After calculating keypoints for each image the algorithm stores the strongest features for eachimage are stored to minimize the space and matching requirements.</p><p>This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact and remains as true to the original work as possible. Therefore you will see the original copyright references library stamps (as most of these works have been housed in our most important libraries around the world) and other notations in the work.</p><p>This work is in the public domain in the United States of America and possibly other nations. Within the United States you may freely copy and distribute this work as no entity (individual or corporate) has a copyright on the body of the work.</p><p>As a reproduction of a historical artifact this work may contain missing or blurred pages poor pictures errant marks etc. Scholars believe and we concur that this work is important enough to be preserved reproduced and made generally available to the public. We appreciate your support of the preservation process and thank you for being an important part of keeping this knowledge alive and relevant.</p>