A study of face detection algorithm

This paper conducts a study of a most well-known face detection algorithm available to computer vision community. The existing code written in C+ language is downloaded as the study platform which is based on simple feature-based and Adaboost-based face detection system and the algorithm with some m...

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Main Author: Ye, Htun Aung.
Other Authors: Ma Kai Kuang
Format: Final Year Project
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/49636
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-496362023-07-07T17:48:50Z A study of face detection algorithm Ye, Htun Aung. Ma Kai Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control engineering This paper conducts a study of a most well-known face detection algorithm available to computer vision community. The existing code written in C+ language is downloaded as the study platform which is based on simple feature-based and Adaboost-based face detection system and the algorithm with some modifications initiated for studying various difficult cases on face detection. Some step by step improvements of simulation results and discussions of problems encountered and future works will be provided. Bachelor of Engineering 2012-05-22T08:31:11Z 2012-05-22T08:31:11Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/49636 en Nanyang Technological University 40 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::Electrical and electronic engineering::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control engineering
Ye, Htun Aung.
A study of face detection algorithm
description This paper conducts a study of a most well-known face detection algorithm available to computer vision community. The existing code written in C+ language is downloaded as the study platform which is based on simple feature-based and Adaboost-based face detection system and the algorithm with some modifications initiated for studying various difficult cases on face detection. Some step by step improvements of simulation results and discussions of problems encountered and future works will be provided.
author2 Ma Kai Kuang
author_facet Ma Kai Kuang
Ye, Htun Aung.
format Final Year Project
author Ye, Htun Aung.
author_sort Ye, Htun Aung.
title A study of face detection algorithm
title_short A study of face detection algorithm
title_full A study of face detection algorithm
title_fullStr A study of face detection algorithm
title_full_unstemmed A study of face detection algorithm
title_sort study of face detection algorithm
publishDate 2012
url http://hdl.handle.net/10356/49636
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