A Lighting-Invariant Point Processor for Shading

2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)(2020)

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摘要
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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关键词
quadratic-surface shape,two-shot uncalibrated photometric stereo,compatible surface shapes,continuous set,lighting-invariant descriptor,parallelizable processor,differentiable approximation,explicit approximation,concise feedforward model,quadratic shapes,five-dimensional space,two-dimensional algebraic variety,single image point,spatial derivatives,quadratic surface shapes,unknown directional lighting,conventional diffuse shading model,lighting-invariant point processor
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