Markerless Camera Pose Estimation - An Overview

Authors Tobias Nöll, Alain Pagani, Didier Stricker

Thumbnail PDF


  • Filesize: 2.68 MB
  • 10 pages

Document Identifiers

Author Details

Tobias Nöll
Alain Pagani
Didier Stricker

Cite AsGet BibTex

Tobias Nöll, Alain Pagani, and Didier Stricker. Markerless Camera Pose Estimation - An Overview. In Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop). Open Access Series in Informatics (OASIcs), Volume 19, pp. 45-54, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)


As shown by the human perception, a correct interpretation of a 3D scene on the basis of a 2D image is possible without markers. Solely by identifying natural features of different objects, their locations and orientations on the image can be identified. This allows a three dimensional interpretation of a two dimensional pictured scene. The key aspect for this interpretation is the correct estimation of the camera pose, i.e. the knowledge of the orientation and location a picture was recorded. This paper is intended to provide an overview of the usual camera pose estimation pipeline as well as to present and discuss the several classes of pose estimation algorithms.
  • Pose Estimation


  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    PDF Downloads