Cartographic sketch matching using eigenfaces
Police sketching, often referred to as cartographic sketching, is an important tool in law enforcement. It is used to identify people given the descriptions of eyewitnesses of that person. At times, this can be the only clue left to investigators about the case. As of today, law enforcement and inve...
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oai:animorepository.dlsu.edu.ph:etd_bachelors-150472021-11-20T14:10:06Z Cartographic sketch matching using eigenfaces Estropa, John Rommel Reyes, Angelo Carlo Rubio, Noel Fernando Villegas, James Carlo Police sketching, often referred to as cartographic sketching, is an important tool in law enforcement. It is used to identify people given the descriptions of eyewitnesses of that person. At times, this can be the only clue left to investigators about the case. As of today, law enforcement and investigate agencies have to compare by hand the sketch to their database of faces. This is a very tedious and time-consuming process. There have been several experimental and commercial systems developed for the purpose of facial recognition, although all have individual strengths and weaknesses. Presently, very few systems have been applied to the task of matching cartographic sketches to real faces. This research focuses on the use of eigenfaces in the comparison and identification of an individual's face from a face database given a sketch. 2006-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14405 Bachelor's Theses English Animo Repository Computer Sciences |
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Computer Sciences Estropa, John Rommel Reyes, Angelo Carlo Rubio, Noel Fernando Villegas, James Carlo Cartographic sketch matching using eigenfaces |
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Police sketching, often referred to as cartographic sketching, is an important tool in law enforcement. It is used to identify people given the descriptions of eyewitnesses of that person. At times, this can be the only clue left to investigators about the case. As of today, law enforcement and investigate agencies have to compare by hand the sketch to their database of faces. This is a very tedious and time-consuming process. There have been several experimental and commercial systems developed for the purpose of facial recognition, although all have individual strengths and weaknesses. Presently, very few systems have been applied to the task of matching cartographic sketches to real faces. This research focuses on the use of eigenfaces in the comparison and identification of an individual's face from a face database given a sketch. |
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Estropa, John Rommel Reyes, Angelo Carlo Rubio, Noel Fernando Villegas, James Carlo |
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Estropa, John Rommel Reyes, Angelo Carlo Rubio, Noel Fernando Villegas, James Carlo |
author_sort |
Estropa, John Rommel |
title |
Cartographic sketch matching using eigenfaces |
title_short |
Cartographic sketch matching using eigenfaces |
title_full |
Cartographic sketch matching using eigenfaces |
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Cartographic sketch matching using eigenfaces |
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Cartographic sketch matching using eigenfaces |
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cartographic sketch matching using eigenfaces |
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Animo Repository |
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2006 |
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https://animorepository.dlsu.edu.ph/etd_bachelors/14405 |
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