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Face Detection in Digital Imagery Using Computer Vision and Image Processing
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

By adding a failure fault limit to an existing implementation of a face detection system application and a tolerance limit for detection time, a desired throughput for detected objects could be established.

The aim of this thesis was to add an increased detection rate for pro le/partial faces while increasing the stability and run-time of the system.

The results were obtained through an empirical analysis of test data which was compared between the implementation done for this thesis and the older implementation. The results showed an increase in detected faces (in low sized images) by 10% while also increasing the number of false-positives by 0.725 detections per average image.

In large size image cases, an automatic scaling functionality was added, to decrease detection time and decrease false-negatives. The results indicated a decrease in average detection time from (old implementation) 15 seconds to 2 seconds, while still increasing positive detection with 23%, from an average of 42% to 65%. False-positives were also decreased from 5.8 to 0.2 detections per average image used in test.

Place, publisher, year, edition, pages
2011.
Series
UMNAD, 891
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-51406OAI: oai:DiVA.org:umu-51406DiVA: diva2:480900
External cooperation
CodeMill
Educational program
Master of Science Programme in Computing Science and Engineering
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-01-20 Created: 2012-01-20 Last updated: 2012-06-19Bibliographically approved

Open Access in DiVA

http://www.cs.umu.se/education/examina/Rapporter/ThomasRondahl.pdf(3394 kB)846 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
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