dc.contributor.author | Kalra, Harshvardhan | |
dc.contributor.author | Vatsa, Mayank (Advisor) | |
dc.contributor.author | Singh, Richa (Advisor) | |
dc.date.accessioned | 2018-09-24T10:44:41Z | |
dc.date.available | 2018-09-24T10:44:41Z | |
dc.date.issued | 2018-07-06 | |
dc.identifier.uri | http://repository.iiitd.edu.in/xmlui/handle/123456789/664 | |
dc.description.abstract | Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image that is filtered out due to the current systems being restricted to focusing entirely on a face. This information prominently includes co-occurrence of certain individuals together, an individual’s gait or frequently visited locations. We have designed a system to utilize such context-based information as an additional biometric score which is fused with the score obtained by state-of-the-art recognition systems to theoretically improve the performance of our vanilla recognition systems. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IIIT-Delhi | en_US |
dc.title | Context-aware face recognition | en_US |
dc.type | Other | en_US |