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Description
  • 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 to a significant speedup. Furthermore, atomic 3D models reconstructed from camera triplets are used as the seeds which form the final large-scale 3D model when merged together. Using three views instead of two allows us to reveal most of the outliers of pairwise geometries at an early stage of the process hindering them from derogating the quality of the resulting 3D structure at later stages. The accuracy of the proposed technique is shown on a set of 64 images where the result of the exhaustive technique is known. Scalability is demonstrated on a landmark reconstruction from hundreds of images.
  • 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 to a significant speedup. Furthermore, atomic 3D models reconstructed from camera triplets are used as the seeds which form the final large-scale 3D model when merged together. Using three views instead of two allows us to reveal most of the outliers of pairwise geometries at an early stage of the process hindering them from derogating the quality of the resulting 3D structure at later stages. The accuracy of the proposed technique is shown on a set of 64 images where the result of the exhaustive technique is known. Scalability is demonstrated on a landmark reconstruction from hundreds of images. (en)
Title
  • Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets
  • Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets (en)
skos:prefLabel
  • Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets
  • Randomized Structure from Motion Based on Atomic 3D Models from Camera Triplets (en)
skos:notation
  • RIV/68407700:21230/09:00163102!RIV11-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/07/1136), Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 338078
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00163102
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Structure from Motion; Unordered Data Sets; Omnidirectional Vision (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5D1F2EDBFCBB]
http://linked.open...v/mistoKonaniAkce
  • Fontainebleau Resort, Miami Beach, Florida
http://linked.open...i/riv/mistoVydani
  • Madison
http://linked.open...i/riv/nazevZdroje
  • CVPR 2009: Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pajdla, Tomáš
  • Havlena, Michal
  • Torii, Akihiko
  • Knopp, J.
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000279038001176
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1063-6919
number of pages
http://purl.org/ne...btex#hasPublisher
  • Omnipress
https://schema.org/isbn
  • 978-1-4244-3991-1
http://localhost/t...ganizacniJednotka
  • 21230
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