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GPU‐Based Volumetric Reconstruction and Rendering of Trees From Multiple Images
Author(s) -
Vock Dominik M. M.,
Gumhold Stefan,
Spehr Marcel,
Staib Joachim,
Westfeld Patrick,
Maas HansGerd
Publication year - 2012
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/j.1477-9730.2012.00683.x
Subject(s) - computer science , rendering (computer graphics) , computer graphics (images) , graphics , computation , graphics hardware , computer vision , artificial intelligence , process (computing) , tree (set theory) , set (abstract data type) , 3d reconstruction , computer graphics , algorithm , mathematics , mathematical analysis , programming language , operating system
This paper presents a new hardware‐accelerated approach to the volumetric reconstruction of trees from photographs, based on the methods introduced by Reche‐Martinez et al. The system applies an adapted computed tomography (CT) procedure that uses a set of oriented photographs with known interior and exterior camera parameters for creating a 3D model of a tree, while requiring considerably fewer images than standard CT. As tomographic reconstructions are complex tasks that result in time‐consuming processes for high‐resolution volumes, the hitherto existing methods are improved and modified to allow an ideal parallelisation of the computations on graphics hardware. The paper delivers a detailed insight into the complete process of the reconstruction, from the acquisition and preparation of the input data to the implementation of the final system on graphics processing hardware.