Randomized structure from motion based on atomic 3D models from camera triplets

This paper presents a new efficient technique for large-scale structure from motion from unordered data sets. We avoid costly computation of all pairwise matches and geometries by sampling pairs of images using the pairwise similarity scores based on the detected occurrences of visual words leading...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Havlena, Michal, Torii, Akihiko, Knopp, Jan, Pajdla, Tomas
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Cameras Computational geometry Cybernetics Image reconstruction Joining processes Large-scale systems Layout Pipelines Scalability Solid modeling
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