Improving face verification in photo albums by combining facial recognition and metadata with cross-matching
Authors
Bouthour, Khoubeib
Subjects
metadata
facial recognition
face verification
OpenFace
cross-matching
facial recognition
face verification
OpenFace
cross-matching
Advisors
Stefanou, Marcus
Whitaker, Lyn
Date of Issue
2017-12
Date
Dec-17
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Facial recognition is an important tool used by many disciplines, but its wider use in face detection and identification tasks has been somewhat limited. This is due to the many uncontrolled factors affecting faces in images, such as lighting, orientation, hair obscuration, blur, and the effects of aging. Despite tremendous efforts to overcome these uncontrolled factors, the reliability of a computer-based face recognizer is still questionable. In our research, we address the possibility of improving face verification using weighted cross-matching, which relies on a face verification metric and metadata. The idea is to implement a framework compatible with multiple platforms and capable of operating with limited resources while achieving satisfactory performance. We do not use statistical models, and we do not create patterns that require supervised learning. Our methodology is intended for use in personal digital image libraries because these libraries represent naturally context-correlated datasets. We use the native connection between files to determine the trustworthiness of an image relative to another. We then use this metric to attribute weights to pre-identified faces that are used as cues to help verify ambiguous elements. The final algorithm does not require the user's collaboration and performs automated digital image library management.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
Copyright is reserved by the copyright owner.