Recovering surface curvature and orientation from texture distortion: a least squares algorithm and sensitivity analysis
作者： Jitendra Malik , Ruth Rosenholtz
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摘要: Shape from texture is best analyzed in two stages, analogous to stereopsis and structure motion: (a) Computing the ‘texture distortion’, (b) Interpreting distortion’ infer orientation shape of surface. We model distortion for a given point direction on image plane as an affine transformation derive relationship between parameters this parameters. use non-linear minimization least squares error criterion estimate transformations, using simple linear algorithm obtain initial guess. Under assumption that measurement errors are independent normally distributed, we can find bounds parameter estimates. present results images planar curved surfaces under perspective projection. all five local with no priori assumptions about
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