Shape from local and global analysis of texture

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Abstract
We demonstrate methods for estimating shape from texture, for textures which are neither isotropic nor homogeneous. Whereas earlier work assumed either isotropy or homogeneity, we make a more general assumption: the local tangent distribution of the surface texture is invariant with respect to position. We then present a taxonomy of texture types, and a set of methods that can be used to recover surface orientation for each texture type. We define two classes of methods for estimating shape from texture: invariance-seeking methods, and value-seeking methods. These definitions are used to account for the performance of new methods on different classes of texture. The approach outlined in this paper provides a general strategy for generating methods for obtaining shape from texture for known classes of texture.

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