Lensless-camera based machine learning for image classification
arXiv: Computer Vision and Pattern Recognition(2017)
摘要
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 clearly demonstrates the potential for non-human cameras in machine-based decision-making scenarios.
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