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Three-Dimensional Reconstruction of Macrotexture and Microtexture Morphology of Pavement Surface Using Six Light Sources–Based Photometric Stereo with Low-Rank Approximation

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AbstractInadequate skid resistance of pavement surface is a substantial reason for traffic accidents. There is a close relationship between sliding resistance and characteristics of texture morphology, demanding high precision and… Click to show full abstract

AbstractInadequate skid resistance of pavement surface is a substantial reason for traffic accidents. There is a close relationship between sliding resistance and characteristics of texture morphology, demanding high precision and comprehensive acquisition of both macrotexture and microtexture morphology. The traditional three light sources photometric stereo method is improved in this study fourfold. First, six light sources are adopted to enhance the illumination and eliminate incomplete information retrieval of pavement surface image. Second, a low-rank approximation is proposed in the image processing stage to significantly reduce the interference of noise, highlights, and shadow, resulting in a higher precision of reconstructed pavement surface compared with the existing photometric stereo method using three light sources. Third, unlike the control point–based weighting algorithm, a control point–based surface interpolation algorithm is established, which can further optimizes the precision of the re...

Keywords: pavement surface; morphology; light sources; photometric stereo

Journal Title: Journal of Computing in Civil Engineering
Year Published: 2017

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