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Stereo‐imaging network design for precise and dense 3d reconstruction
Author(s) -
Ahmadabadian Ali Hosseininaveh,
Robson Stuart,
Boehm Jan,
Shortis Mark
Publication year - 2014
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/phor.12076
Subject(s) - viewpoints , ellipsoid , computer science , artificial intelligence , computer vision , cluster analysis , stereo imaging , object (grammar) , geodetic datum , visibility , position (finance) , set (abstract data type) , range (aeronautics) , geography , engineering , geodesy , finance , aerospace engineering , meteorology , economics , programming language , art , visual arts
Abstract This paper presents a novel stereo‐imaging network design strategy comprising four steps: datum definition, optimum distance estimation, candidate camera position generation, and lastly clustering and selection of vantage viewpoints. An approximate 3D mesh model of an object from a quick low‐cost system is used in the first step of the method. An ellipsoid is fitted to the rough model in order to find a suitable imaging distance regarding range‐ and visibility‐related constraints for a stereopair. Next, a set of viewpoints is provided taking into account the ellipsoid and the calculated distance. Finally, camera positions and orientations are defined by clustering and choosing the vantage viewpoints. A system, called “imaging network designer” ( IND ), has been developed based on this method and is evaluated with two different tests. Results show that IND can provide an imaging network, which fulfils the expected precision for the entire object.