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Despite advancements in computer vision, reconstructing 3D structures from 2D images (3D reconstruction) remains a challenge. This technique, tackling the inverse problem of image formation, aims to recover the lost dimension by creating a 3D object model from images. Shape from Shading (SFS) is a common method that suffers from limitations. Photometric Stereo (PS) offers a more general approach for 3D reconstruction, paving the way for our proposed method based on the BSO algorithm.

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Improved Photometric Stereo Based on Bee Swarm Optimization BSO Algorithm

  • 会议论文

  • 发表日期：

    2025年

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  • Aimen Said Mezabiat,
  • Lyes Abada,
  • Tarek Gacem

摘要

Despite advancements in computer vision, reconstructing 3D structures from 2D images (3D reconstruction) remains a challenge. This technique, tackling the inverse problem of image formation, aims to recover the lost dimension by creating a 3D object model from images. Shape from Shading (SFS) is a common method that suffers from limitations. Photometric Stereo (PS) offers a more general approach for 3D reconstruction, paving the way for our proposed method based on the BSO algorithm.