FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Implementing a fuzzy relational database using community defined membership values
Proceedings of the 43rd annual Southeast regional conference - Volume 1
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The human face is an important and unique characteristic that can be tracked and categorized for facial recognition use in security and criminal justice applications. This feasibility study attempts to quantify what portions of the face should be captured and how to harness the enhanced capabilities of spatial database packages to extract spatial information over traditional relational databases. In addition, this study incorporates spatial databases with research in community learned perceptions of a set of faces and their translation into fuzzy queries done by a joint database research group. If successful, users can ask both detailed and flexible questions about the relationships between spatial features of the faces such as nose length to chin position.