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• W2912451294 abstract "The developments of three-dimensional (3-D) imaging and display technology have created important demands for 3-D model with realistic texture. Due to texture misalignment and inconsistent illumination, texture reconstruction is subject to degradation like blurring, ghosting and color discontinuity. A composite weight texture blending approach is proposed to mitigate the artifacts. For inaccurate geometric model, bidirectional similarity function based multi-scale energy minimization method is proposed to correct texture misalignment. The average processing time of the proposed method is only 40% of existing method. The optical experiments demonstrate that photorealistic texture could be achieved for inaccurate geometric model and inconsistent illumination." @default.
• W2912451294 created "2019-02-21" @default.
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• W2912451294 date "2019-05-01" @default.
• W2912451294 modified "2023-10-16" @default.
• W2912451294 title "Unsupervised texture reconstruction method using bidirectional similarity function for 3-D measurements" @default.
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• W2912451294 doi "https://doi.org/10.1016/j.optcom.2019.01.051" @default.
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