A lighting-invariant point processor for shading
Proceedings of the IEEE/CVF Conference on Computer Vision and …, 2020•openaccess.thecvf.com
Under the conventional diffuse shading model with unknown directional lighting, the set of
quadratic surface shapes that are consistent with the spatial derivatives of intensity at a
single image point is a two-dimensional algebraic variety embedded in the five-dimensional
space of quadratic shapes. We describe the geometry of this variety, and we introduce a
concise feedforward model that computes an explicit, differentiable approximation of the
variety from the intensity and its derivatives at any single image point. The result is a …
quadratic surface shapes that are consistent with the spatial derivatives of intensity at a
single image point is a two-dimensional algebraic variety embedded in the five-dimensional
space of quadratic shapes. We describe the geometry of this variety, and we introduce a
concise feedforward model that computes an explicit, differentiable approximation of the
variety from the intensity and its derivatives at any single image point. The result is a …
Abstract
Under the conventional diffuse shading model with unknown directional lighting, the set of quadratic surface shapes that are consistent with the spatial derivatives of intensity at a single image point is a two-dimensional algebraic variety embedded in the five-dimensional space of quadratic shapes. We describe the geometry of this variety, and we introduce a concise feedforward model that computes an explicit, differentiable approximation of the variety from the intensity and its derivatives at any single image point. The result is a parallelizable processor that operates at each image point and produces a lighting-invariant descriptor of the continuous set of compatible surface shapes at the point. We describe two applications of this processor: two-shot uncalibrated photometric stereo and quadratic-surface shape from shading.
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