Compression and Transmission of Facial Images Over Very Narrowband Channels
| dc.contributor.advisor | Christopher G. Healey, Committee Member | en_US |
| dc.contributor.advisor | Alexandra Duel-Hallen, Committee Member | en_US |
| dc.contributor.advisor | Hamid Krim, Committee Chair | en_US |
| dc.contributor.advisor | Paul Allan Sadowski, Committee Member | en_US |
| dc.contributor.author | Gunduz, Aysegul | en_US |
| dc.date.accessioned | 2010-04-02T18:12:48Z | |
| dc.date.available | 2010-04-02T18:12:48Z | |
| dc.date.issued | 2003-07-13 | en_US |
| dc.degree.discipline | Electrical Engineering | en_US |
| dc.degree.level | thesis | en_US |
| dc.degree.name | MS | en_US |
| dc.description.abstract | Law enforcement officers on mobile duty are often confronted with ID authentication of subjects, requiring the transmission of a driver's license picture over wireless channels with very narrow bandwidths. To access mug shots in a reliable and timely manner, real time compression and decompression methods with high compression ratios are required at the server database and at the mobile client unit. This thesis presents a methodology, which minimizes the size of the data sent over the channel by locally storing common features of the human face in the client computers. Pre-processing of server database images, such as facial feature extraction, are used to extract these common facial features, and are obtained via topological methods, in particular, via ravine extraction. The implemented file transfer protocols are based on basic TCP/IP client-server models and make use of socket programming. Experimental results show a 4x improvement in transfer time over typically saturated channels. | en_US |
| dc.identifier.other | etd-03312003-001013 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/2375 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | Facial Feature Extraction | en_US |
| dc.subject | Facial Image Compression | en_US |
| dc.title | Compression and Transmission of Facial Images Over Very Narrowband Channels | en_US |
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