Efficient and Globally Optimal Multi View Dense Matching for Aerial Images

Arnold Irschara, Markus Rumpler, Philipp Meixner, Thomas Pock, Horst Bischof

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Original languageEnglish
Title of host publicationCongress / International Society for Photogrammetry and Remote Sensing
Publisher.
Pages227-232
Publication statusPublished - 2012
EventCongress / International Society for Photogrammetry and Remote Sensing - Melbourne, Australia
Duration: 25 Aug 20121 Sep 2012

Conference

ConferenceCongress / International Society for Photogrammetry and Remote Sensing
CountryAustralia
CityMelbourne
Period25/08/121/09/12

Fields of Expertise

  • Information, Communication & Computing

Cite this

Irschara, A., Rumpler, M., Meixner, P., Pock, T., & Bischof, H. (2012). Efficient and Globally Optimal Multi View Dense Matching for Aerial Images. In Congress / International Society for Photogrammetry and Remote Sensing (pp. 227-232). ..

Efficient and Globally Optimal Multi View Dense Matching for Aerial Images. / Irschara, Arnold; Rumpler, Markus; Meixner, Philipp; Pock, Thomas; Bischof, Horst.

Congress / International Society for Photogrammetry and Remote Sensing. ., 2012. p. 227-232.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Irschara, A, Rumpler, M, Meixner, P, Pock, T & Bischof, H 2012, Efficient and Globally Optimal Multi View Dense Matching for Aerial Images. in Congress / International Society for Photogrammetry and Remote Sensing. ., pp. 227-232, Congress / International Society for Photogrammetry and Remote Sensing, Melbourne, Australia, 25/08/12.
Irschara A, Rumpler M, Meixner P, Pock T, Bischof H. Efficient and Globally Optimal Multi View Dense Matching for Aerial Images. In Congress / International Society for Photogrammetry and Remote Sensing. . 2012. p. 227-232
Irschara, Arnold ; Rumpler, Markus ; Meixner, Philipp ; Pock, Thomas ; Bischof, Horst. / Efficient and Globally Optimal Multi View Dense Matching for Aerial Images. Congress / International Society for Photogrammetry and Remote Sensing. ., 2012. pp. 227-232
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