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arXiv · 1709.00408

Lensless-camera based machine learning for image classification

Ganghun Kim·Stefan Kapetanovic·Rachael Palmer·Rajesh Menon
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Abstract

Machine learning (ML) has been widely applied to image classification. Here, we extend this application to data generated by a camera comprised of only a standard CMOS image sensor with no lens. We first created a database of lensless images of handwritten digits. Then, we trained a ML algorithm on this dataset. Finally, we demonstrated that the trained ML algorithm is able to classify the digits with accuracy as high as 99% for 2 digits. Our approach clearly demonstrates the potential for non-human cameras in machine-based decision-making scenarios.

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Ganghun Kim, Stefan Kapetanovic, Rachael Palmer, Rajesh Menon. 2017-09-03. Lensless-camera based machine learning for image classification. https://arxiv.org/abs/1709.00408

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