Programming micro-aerial vehicle swarms with karma
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Frequency analysis of transient light transport with applications in bare sensor imaging
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
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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.