A Lighting-Invariant Point Processor for Shading
2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)(2020)
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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