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@BOOK{Fang:643148,
      author       = {Fang, Lu},
      title        = {{P}lenoptic imaging and processing; {F}irst {E}dition},
      address      = {Singapore},
      publisher    = {Springer Nature},
      reportid     = {PUBDB-2026-00046},
      isbn         = {9789819769155},
      series       = {Advances in Computer Vision and Pattern Recognition},
      pages        = {1 Online-Ressource (XIII, 389 pages) : illustrations},
      year         = {2025},
      abstract     = {This open access book delves into the fundamental
                      principles and cutting-edge techniques of plenoptic imaging
                      and processing. Derived from the Latin words "plenus"
                      (meaning "full") and "optic," plenoptic imaging offers a
                      transformative approach to optical imaging. Unlike
                      conventional systems that rely solely on the pinhole camera
                      model to capture spatial information, plenoptic imaging aims
                      to detect and reconstruct multidimensional and multiscale
                      information from light rays in space. Chapter 1 begins with
                      the introduction of the basic principle of the plenoptic
                      function and the historical development of plenoptic
                      imaging. Next, Chapter 2 describes representative plenoptic
                      sensing systems, including single-sensor devices with
                      lenslet arrays, coded-aperture masks, structured camera
                      arrays, and unstructured camera arrays. Then, Chapter 3
                      introduces gigapixel plenoptic sensing techniques capable of
                      capturing large-scale dynamic scenes with extremely high
                      resolution. Further, chapter 4 examines typical plenoptic
                      reconstruction methods, including light-field image
                      reconstruction, image-based, and RGBD-based geometry
                      reconstruction. After that, chapter 5 tackles the challenges
                      of large-scale plenoptic reconstruction by introducing
                      sparse-view priors, high-resolution observations, and
                      semantic information. Finally, chapter 6 discusses the
                      frontier issues of plenoptic processing, including the
                      gigapixel-level video dataset PANDA and corresponding visual
                      intelligent algorithms},
      ddc          = {006.37},
      typ          = {PUB:(DE-HGF)3},
      url          = {https://bib-pubdb1.desy.de/record/643148},
}