Temporally Integrated Surface Reconstruction

Abstract

A solution is presented to the problem of obtaining and improving an estimate of the 3-D structure of a scene from a sequence of images. The algorithm, which combines single-frame reconstruction techniques and multiple-frame Kalman filtering, is tested on a variety of real motion image sequences.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Heel. "Temporally Integrated Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139534

Markdown

[Heel. "Temporally Integrated Surface Reconstruction." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/heel1990iccv-temporally/) doi:10.1109/ICCV.1990.139534

BibTeX

@inproceedings{heel1990iccv-temporally,
  title     = {{Temporally Integrated Surface Reconstruction}},
  author    = {Heel, Joachim},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {292-295},
  doi       = {10.1109/ICCV.1990.139534},
  url       = {https://mlanthology.org/iccv/1990/heel1990iccv-temporally/}
}