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Estimating cast shadows using SFS and class-based surface completion

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Journal18th International Conference on Pattern Recognition, Vol 1, Proceedings
DatePublished - 2006
Number of pages5
Pages (from-to)86-90
Original languageEnglish

Abstract

This paper describes a method for cast shadow removal from obliquely illuminated images of faces. The method draws on a statistical model of surface normal directions. The model is fitted to shadowed facial images using robust statistics and constraints provided by shape-from-shading. Regions associated with poor fit residuals are associated with shadow regions. We illustrate the method on the Yale B database where it gives both good shadow map estimates and fills-in the facial surface in the shadow regions.

    Research areas

  • SHAPE

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