Size, shape and orientation matter: fast and semi-automatic measurement of grain geometries from 3d point clouds

HIGHLIGHTS

SUMMARY

    The initial size or shape distributions are controlled by fragmentation, weathering processes and structure of the rock mass (e_g, fracture density and orientation, mineral size) (e_g, Molnar et_al, 2007; Garzanti et_al, 2008; Sklar et_al, 2017; DiBiase et_al, 2018; Neely and DiBiase, 2020; Verdian et_al, 2021). Because this manual procedure can be timeconsuming, (semi-)automatic procedures have been implemented to recognize grains from pictures (Butler et_al, 2001; Graham et_al, 2005a, b; Detert and Weitbrecht, 2012; Buscombe et_al, 2013; Langhammer et_al, 2017; Carbonneau et_al, 2018; Purinton and Bookhagen, 2019) Machine learning approaches are being developed to . . .

     

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