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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| التنسيق: | Final Year Project |
| اللغة: | English |
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2012
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| الوصول للمادة أونلاين: | http://hdl.handle.net/10356/49636 |
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| المؤسسة: | Nanyang Technological University |
| اللغة: | English |
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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 |
| _version_ |
1772826324596948992 |