In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potential to play an important role in computational sciences. Though the term Computational Symmetry was formally defined a decade ago, referring to algorithmic treatment of symmetries, seeking symmetry from digital data has been attempted for over four decades. Computational symmetry on real world data turns out to be challenging enough that, after decades of effort, a fully automated symmetry-savvy system remains elusive for real world applications. Computational Symmetry in Computer Vision and Computer Graphics provides a succinct summary of the relevant mathematical theory, a historic perspective of some important symmetry-related ideas, a partial yet timely report on the state of the arts symmetry detection algorithms along with its first quantitative benchmark, a diverse set of real world applications, suggestions for future directions and a comprehensive reference list. The recent resurgence in interest in computational symmetry for computer vision and computer graphics applications has shown promising results. Computational Symmetry in Computer Vision and Computer Graphics illustrates how far we have come and where the future challenges and opportunities may lie.

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Computational Symmetry in Computer Vision and Computer Graphics

Liu, Yanxi; Hel-or, Hagit; Kaplan, Craig S.; Van Gool, Luc

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