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Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance

13 years 1 months ago
Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance
This paper introduces a supervised discriminant Hausdorff distance that fits into the framework for automatic face analysis and recognition proposed in [1]. Our proposal relies solely on face shape variation contrarily to most of the successful model-based approaches, and results show comparable performance to them. The whole framework is based in a new set of Hausdorff measures and defines face-shape based similarity measures and supervised criteria to add discriminant capabilities to the Hausdorff distance. The paper presents experimental results supporting the proposed methodologies.
Albert Pujol, Antonio M. López, José
Added 24 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Albert Pujol, Antonio M. López, José Luis Alba, Juan José Villanueva
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