Evaluating soft biometrics in the context of face recognition
| dc.contributor.author | Zhang, Hao, author | |
| dc.contributor.author | Beveridge, Ross, advisor | |
| dc.contributor.author | Draper, Bruce, committee member | |
| dc.contributor.author | Givens, Geof, committee member | |
| dc.date.accessioned | 2007-01-03T05:57:00Z | |
| dc.date.available | 2007-01-03T05:57:00Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Soft biometrics typically refer to attributes of people such as their gender, the shape of their head, the color of their hair, etc. There is growing interest in soft biometrics as a means of improving automated face recognition since they hold the promise of significantly reducing recognition errors, in part by ruling out illogical choices. Here four experiments quantify performance gains on a difficult face recognition task when standard face recognition algorithms are augmented using information associated with soft biometrics. These experiments include a best-case analysis using perfect knowledge of gender and race, support vector machine-based soft biometric classifiers, face shape expressed through an active shape model, and finally appearance information from the image region directly surrounding the face. All four experiments indicate small improvements may be made when soft biometrics augment an existing algorithm. However, in all cases, the gains were modest. In the context of face recognition, empirical evidence suggests that significant gains using soft biometrics are hard to come by. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Zhang_colostate_0053N_11773.pdf | |
| dc.identifier.uri | http://hdl.handle.net/10217/80299 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Evaluating soft biometrics in the context of face recognition | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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