Facial feature comparison between biological relatives

Facial feature recognition techniques that allow fast and efficient face detection have gained popularity in recent years. Based on the concepts of Viola-Jones robust real-time face detection, this project aims to find facial features that are able to determine if two individuals are related. In...

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Main Author: Teoh, Geraldine Shi En
Other Authors: Anamitra Makur
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/67663
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-676632023-07-07T16:09:05Z Facial feature comparison between biological relatives Teoh, Geraldine Shi En Anamitra Makur School of Electrical and Electronic Engineering DRNTU::Engineering Facial feature recognition techniques that allow fast and efficient face detection have gained popularity in recent years. Based on the concepts of Viola-Jones robust real-time face detection, this project aims to find facial features that are able to determine if two individuals are related. In this project, images sets of related and unrelated individuals was collected. Facial features such as the nose and eyes were extracted from the image and used for analysis. Other facial features such as the ratios between facial landmarks were also used for analysis. Methods of comparison were used to determine the effectiveness of the facial features in differentiating related and unrelated individuals. In order to differentiate related and unrelated pairs, a threshold value had to be determined for each facial feature. Since not all facial features are equally effective, a weightage was allocated to each facial feature according to their effectiveness in differentiating related and unrelated individuals. The experimental results showed that using a combination of certain facial features with the appropriate threshold values and weightages, related and unrelated individuals were able to be differentiated most of the time. However, more extensive research should be done on a larger sample size to give more substantial results. Bachelor of Engineering 2016-05-19T02:32:49Z 2016-05-19T02:32:49Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/67663 en Nanyang Technological University 85 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Teoh, Geraldine Shi En
Facial feature comparison between biological relatives
description Facial feature recognition techniques that allow fast and efficient face detection have gained popularity in recent years. Based on the concepts of Viola-Jones robust real-time face detection, this project aims to find facial features that are able to determine if two individuals are related. In this project, images sets of related and unrelated individuals was collected. Facial features such as the nose and eyes were extracted from the image and used for analysis. Other facial features such as the ratios between facial landmarks were also used for analysis. Methods of comparison were used to determine the effectiveness of the facial features in differentiating related and unrelated individuals. In order to differentiate related and unrelated pairs, a threshold value had to be determined for each facial feature. Since not all facial features are equally effective, a weightage was allocated to each facial feature according to their effectiveness in differentiating related and unrelated individuals. The experimental results showed that using a combination of certain facial features with the appropriate threshold values and weightages, related and unrelated individuals were able to be differentiated most of the time. However, more extensive research should be done on a larger sample size to give more substantial results.
author2 Anamitra Makur
author_facet Anamitra Makur
Teoh, Geraldine Shi En
format Final Year Project
author Teoh, Geraldine Shi En
author_sort Teoh, Geraldine Shi En
title Facial feature comparison between biological relatives
title_short Facial feature comparison between biological relatives
title_full Facial feature comparison between biological relatives
title_fullStr Facial feature comparison between biological relatives
title_full_unstemmed Facial feature comparison between biological relatives
title_sort facial feature comparison between biological relatives
publishDate 2016
url http://hdl.handle.net/10356/67663
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