TY - GEN
T1 - Robust expression-invariant face recognition from partially missing data
AU - Bronstein, Alexander M.
AU - Bronstein, Michael M.
AU - Kimmel, Ron
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745822818&partnerID=8YFLogxK
U2 - 10.1007/11744078_31
DO - 10.1007/11744078_31
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AN - SCOPUS:33745822818
SN - 3540338365
SN - 9783540338369
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 396
EP - 408
BT - Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings
T2 - 9th European Conference on Computer Vision, ECCV 2006
Y2 - 7 May 2006 through 13 May 2006
ER -