Wide-Angle Micro Sensors for Vision on a Tight Budget
Abstract
Achieving computer vision on micro-scale devices is a challenge. On these platforms, the power and mass constraints are severe enough for even the most common computations (matrix manipulations, convolution, etc.) to be difficult. This paper proposes and analyzes a class of miniature vision sensors that can help overcome these constraints. These sensors reduce power requirements through template-based optical convolution, and they enable a wide field-of-view within a small form through a novel optical design. We describe the trade-offs between the field of view, volume, and mass of these sensors and we provide analytic tools to navigate the design space. We also demonstrate milli-scale prototypes for computer vision tasks such as locating edges, tracking targets, and detecting faces.
Cite
Text
Koppal et al. "Wide-Angle Micro Sensors for Vision on a Tight Budget." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995338Markdown
[Koppal et al. "Wide-Angle Micro Sensors for Vision on a Tight Budget." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/koppal2011cvpr-wide/) doi:10.1109/CVPR.2011.5995338BibTeX
@inproceedings{koppal2011cvpr-wide,
title = {{Wide-Angle Micro Sensors for Vision on a Tight Budget}},
author = {Koppal, Sanjeev J. and Gkioulekas, Ioannis and Zickler, Todd E. and Barrows, Geoffrey L.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2011},
pages = {361-368},
doi = {10.1109/CVPR.2011.5995338},
url = {https://mlanthology.org/cvpr/2011/koppal2011cvpr-wide/}
}