Name: Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features (en Inglés)
Price: 255.37 PEN
Availability: InStock
Author: Fogg, Paul N.
ISBN: 9781288368891

portada Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features (en Inglés)

Formato

Libro Físico

Autor

Paul N. Fogg

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.3 cm

Peso

0.13 kg.

ISBN13

9781288368891

Categorías

Educación

Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features (en Inglés)

Paul N. Fogg (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "Forensics Image Background Matching Using Scale Invariant Feature Transform and Speeded up Robust Features (en Inglés)"

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, during, and/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