ML Anthology

Integration of Transitory Image Sequences

John (Juyang) Weng, Yuntao Cui, Narendra Ahuja, Ajit Singh
CVPR 1994 pp. 966-969
doi:10.1109/CVPR.1994.323935 /cvpr/1994/weng1994cvpr-integration/

Abstract

A transitory image sequence is one in which no scene element is visible through the entire sequence. This article deals with some major theoretical and algorithmic issues associated with the task of estimating structure and motion from transitory image sequences. Two representations, world-centered (WC) and camera-centered (CC), behave very differently with a transitory sequence. The asymptotical error properties derived in this article indicate that one representation is significantly superior to the other, depending on whether one uses camera-centered or world-centered estimates. Rigorous experiments were conducted with real-image sequences taken by a fully calibrated camera system. The comparison demonstrated that a good accuracy can be obtained from transitory image sequences.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Text

Weng et al. "Integration of Transitory Image Sequences." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994. doi:10.1109/CVPR.1994.323935

Markdown

[Weng et al. "Integration of Transitory Image Sequences." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1994.](https://mlanthology.org/cvpr/1994/weng1994cvpr-integration/) doi:10.1109/CVPR.1994.323935

BibTeX

@inproceedings{weng1994cvpr-integration,
  title     = {{Integration of Transitory Image Sequences}},
  author    = {Weng, John (Juyang) and Cui, Yuntao and Ahuja, Narendra and Singh, Ajit},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1994},
  pages     = {966-969},
  doi       = {10.1109/CVPR.1994.323935},
  url       = {https://mlanthology.org/cvpr/1994/weng1994cvpr-integration/}
}