Abstract
A computational approach to locating human faces in newspaper photographs is described. While the computational recognition of a well-framed face as belonging to one of a known set of faces has received some attention, the computational location of faces in varying contexts is relatively unexplored. Candidates for the locations of faces are hypothesized by extracting features in the edge-image of the photograph and matching with a model of a face profile. A face is defined by a parametric representation of each of the component parts. Knowledge contained in the caption is represented using semantic networks and is used to reason about the locations of faces of individuals in the photograph.
| Original language | English |
|---|---|
| Pages | 549-554 |
| Number of pages | 6 |
| State | Published - 1989 |
| Event | Proceedings: IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Rosemont, IL, USA Duration: Jun 6 1989 → Jun 9 1989 |
Conference
| Conference | Proceedings: IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
|---|---|
| City | Rosemont, IL, USA |
| Period | 06/6/89 → 06/9/89 |
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