ML Anthology

Multi-View AAM Fitting and Camera Calibration

Seth Koterba, Simon Baker, Iain A. Matthews, Changbo Hu, Jing Xiao, Jeffrey F. Cohn, Takeo Kanade
ICCV 2005 pp. 511-518
doi:10.1109/ICCV.2005.157 /iccv/2005/koterba2005iccv-multi/

Abstract

In this paper, we study the relationship between multi-view active appearance model (AAM) fitting and camera calibration. In the first part of the paper we propose an algorithm to calibrate the relative orientation of a set of N > 1 cameras by fitting an AAM to sets of N images. In essence, we use the human face as a (non-rigid) calibration grid. Our algorithm calibrates a set of 2 /spl times/ 3 weak-perspective camera projection matrices, protections of the world coordinate system origin into the images, depths of the world coordinate system origin, and focal lengths. We demonstrate that the performance of this algorithm is comparable to a standard algorithm using a calibration grid. In the second part of the paper, we show how calibrating the cameras improves tile performance of multi-view AAM fitting.

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Cite

Text

Koterba et al. "Multi-View AAM Fitting and Camera Calibration." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.157

Markdown

[Koterba et al. "Multi-View AAM Fitting and Camera Calibration." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/koterba2005iccv-multi/) doi:10.1109/ICCV.2005.157

BibTeX

@inproceedings{koterba2005iccv-multi,
  title     = {{Multi-View AAM Fitting and Camera Calibration}},
  author    = {Koterba, Seth and Baker, Simon and Matthews, Iain A. and Hu, Changbo and Xiao, Jing and Cohn, Jeffrey F. and Kanade, Takeo},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2005},
  pages     = {511-518},
  doi       = {10.1109/ICCV.2005.157},
  url       = {https://mlanthology.org/iccv/2005/koterba2005iccv-multi/}
}