Robust expression-invariant face recognition from partially missing data

Authors:
Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel
Affiliations:
Dept. of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel;Dept. of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel;Dept. of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel
Venue:
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Year:
2006

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Abstract

Recent studies on three-dimensional face recognition proposed to model facial expressions as isometries of the facial surface. Based on this model, expression-invariant signatures of the face were constructed by means of approximate isometric embedding into flat spaces. Here, we apply a new method for measuring isometry-invariant similarity between faces by embedding one facial surface into another. We demonstrate that our approach has several significant advantages, one of which is the ability to handle partially missing data. Promising face recognition results are obtained in numerical experiments even when the facial surfaces are severely occluded.