Robust Structure from Motion and Identified Dynamics
Abstract
This paper addresses robust recovery of structure and motion for rigid bodies in video sequences. For small inter-frame motion, feature appearance is commonly estimated according to the previous frame. However, in the case of occlusion or corrupt frames, the small interframe motion model fails. In this paper, we propose to use robust identification techniques to estimate the motion dynamics based on a set of previous frames. These dynamics are then recursively used to robustly estimate object structure and motion and to predict the object appearance in future frames. Results are tested for 3D reconstructions of rigid bodies in real and synthetic image sequences.
Cite
Text
Fransen et al. "Robust Structure from Motion and Identified Dynamics." IEEE/CVF International Conference on Computer Vision, 2005. doi:10.1109/ICCV.2005.212Markdown
[Fransen et al. "Robust Structure from Motion and Identified Dynamics." IEEE/CVF International Conference on Computer Vision, 2005.](https://mlanthology.org/iccv/2005/fransen2005iccv-robust/) doi:10.1109/ICCV.2005.212BibTeX
@inproceedings{fransen2005iccv-robust,
title = {{Robust Structure from Motion and Identified Dynamics}},
author = {Fransen, Benjamin R. and Camps, Octavia I. and Sznaier, Mario},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2005},
pages = {772-777},
doi = {10.1109/ICCV.2005.212},
url = {https://mlanthology.org/iccv/2005/fransen2005iccv-robust/}
}