Low Power Depth and Velocity from a Passive Moving Sensor
Abstract
We present an opportunity for the visual sensing of depth and 3D velocity using a passive sensor that has extremely low power requirements. This opportunity comes from a new mathematical constraint, which we derive, that relates depth and velocity to spatial and temporal derivatives of image values captured by a coded-aperture camera that observes a moving scene. The constraint exploits the fact that there are two causes of brightness change in this situation: features move across the image due to motion, and contrast changes because of time-varying optical blur. The sensor that could be realized from this constraint is called a focal flow sensor. We analytically characterize the working volume of such a sensor in relation to its size, and we provide simulation results that affirm its viability.
Cite
Text
Alexander et al. "Low Power Depth and Velocity from a Passive Moving Sensor." IEEE/CVF International Conference on Computer Vision Workshops, 2015. doi:10.1109/ICCVW.2015.90Markdown
[Alexander et al. "Low Power Depth and Velocity from a Passive Moving Sensor." IEEE/CVF International Conference on Computer Vision Workshops, 2015.](https://mlanthology.org/iccvw/2015/alexander2015iccvw-low/) doi:10.1109/ICCVW.2015.90BibTeX
@inproceedings{alexander2015iccvw-low,
title = {{Low Power Depth and Velocity from a Passive Moving Sensor}},
author = {Alexander, Emma and Koppal, Sanjeev J. and Zickler, Todd E.},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2015},
pages = {667-670},
doi = {10.1109/ICCVW.2015.90},
url = {https://mlanthology.org/iccvw/2015/alexander2015iccvw-low/}
}