Joint radiometric calibration and feature tracking system with an application to stereo

Seon Joo Kim, David Gallup, Jan Michael Frahm, Marc Pollefeys

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

To capture the full brightness range of natural scenes, cameras automatically adjust the exposure value which causes the brightness of scene points to change from frame to frame. Given such a video sequence, we introduce a system for tracking features and estimating the radiometric response function of the camera and the exposure difference between frames simultaneously. We model the global and nonlinear process that is responsible for the changes in image brightness rather than adapting to the changes locally and linearly which makes our tracking more robust to the change in brightness. We apply our system to perform structure-from-motion and stereo to reconstruct a texture-mapped 3D surface from a video taken in a high dynamic range environment.

Original languageEnglish
Pages (from-to)574-582
Number of pages9
JournalComputer Vision and Image Understanding
Volume114
Issue number5
DOIs
Publication statusPublished - 2010 May 1

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Luminance
Calibration
Cameras
Textures

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Cite this

Kim, Seon Joo ; Gallup, David ; Frahm, Jan Michael ; Pollefeys, Marc. / Joint radiometric calibration and feature tracking system with an application to stereo. In: Computer Vision and Image Understanding. 2010 ; Vol. 114, No. 5. pp. 574-582.
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Joint radiometric calibration and feature tracking system with an application to stereo. / Kim, Seon Joo; Gallup, David; Frahm, Jan Michael; Pollefeys, Marc.

In: Computer Vision and Image Understanding, Vol. 114, No. 5, 01.05.2010, p. 574-582.

Research output: Contribution to journalArticle

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