Separation of Texture and Two-Dimensional Shape in Images of Human Faces

作者: Thomas Vetter , Nikolaus Troje

DOI: 10.1007/978-3-642-79980-8_14

关键词: Representation (mathematics)Artificial intelligenceSmall dataPrincipal axis theoremFacial recognition systemComputer visionFace (geometry)Separation (aeronautics)Set (abstract data type)Texture (geology)Computer science

摘要: Human faces differ in shape and texture. This paper describes a representation of grey-level images human based on an automated separation two- dimensional The was done using the point correspondence between different images, which established through algorithms known from optical flow computation. A linear description separated texture spaces allows smooth modeling faces. Pictures along principal axes small data set 50 are shown. We also show face reconstructions this example set.

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