An outdoor ground truth evaluation dataset for sensor-aided visual handheld camera localization

Daniel Kurz, Peter Georg Meier, Alexander Plopski, Gudrun Klinker

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

14 Scopus citations

Abstract

We introduce the first publicly available test dataset for outdoor handheld camera localization comprising over 45,000 real camera images of an urban environment captured under natural camera motions and different illumination settings. For all these images the dataset not only contains readings of the sensors attached to the camera, but also ground truth information on the geometry and texture of the environment and the full 6DoF ground truth camera pose. This poster describes the extensive process of creating this comprehensive dataset that we have made available to the public. We hope this not only enables researchers to objectively evaluate their camera localization and tracking algorithms and frameworks on realistic data but also stimulates further research.

Original languageEnglish
Title of host publication2013 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2013
Pages263-264
Number of pages2
DOIs
StatePublished - 2013
Event12th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2013 - Adelaide, NSW, Australia
Duration: 1 Oct 20134 Oct 2013

Publication series

Name2013 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2013

Conference

Conference12th IEEE and ACM International Symposium on Mixed and Augmented Reality, ISMAR 2013
Country/TerritoryAustralia
CityAdelaide, NSW
Period1/10/134/10/13

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