Camera Alignment System for Face Detection
In the enrolment by a facial recognition system, the capture of the facial features is an important step in the enrolment process. The capture of the reference facial image is an important step where the positioning of the face where people have a tendency to turn or tilt their head and cause inc...
| Main Author: | Mohd Rawi, Noor Aiman Zafira |
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| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.22622 / |
| Published: |
Universiti Teknologi PETRONAS
2016
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/22622/1/17098_Dissertation.pdf http://utpedia.utp.edu.my/22622/ |
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| Summary: |
In the enrolment by a facial recognition system, the capture of the facial features is an
important step in the enrolment process. The capture of the reference facial image is
an important step where the positioning of the face where people have a tendency to
turn or tilt their head and cause incorrect capture of facial image. In order to get the
best capture of a person’s face, the person has to be standing in the correct position
and look forward into the camera and hold for a while. Previous studies prove that
even though some cameras have a large view field, it still cannot capture the face with
the best resolution and sufficient for recognition. Surveillance cameras for example
have a large view field because they acquired to monitor on large areas rather than
focusing on faces. This will result in limitation in term of the number of pixels covered
thereby downgrading the face matching process. |
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