论文标题
扫描像素摄像机的自适应采样
Adaptive sampling for scanning pixel cameras
论文作者
论文摘要
扫描像素摄像机是一种新型的低成本低功率传感器，不受衍射限制。它作为扫描过程中从场景的各个部分提取的样本序列产生数据。它可以提供非常详细的图像，而牺牲了采样和缓慢的图像获取时间。本文提出了一种新的算法，该算法允许传感器在此序列的过程中调整采样。这可以通过最大程度地减少图像和传输场景所需的带宽和时间来克服这些局限性，同时保持图像质量。我们检查了图像分类和语义分割的应用，与完全采样的输入相比，能够获得相似的结果
A scanning pixel camera is a novel low-cost, low-power sensor that is not diffraction limited. It produces data as a sequence of samples extracted from various parts of the scene during the course of a scan. It can provide very detailed images at the expense of samplerates and slow image acquisition time. This paper proposes a new algorithm which allows the sensor to adapt the samplerate over the course of this sequence. This makes it possible to overcome some of these limitations by minimising the bandwidth and time required to image and transmit a scene, while maintaining image quality. We examine applications to image classification and semantic segmentation and are able to achieve similar results compared to a fully sampled input, while using 80% fewer samples
