论文标题
动态视觉传感器的基于照明的颜色重建
Illumination-Based Color Reconstruction for the Dynamic Vision Sensor
论文作者
论文摘要
这项工作展示了一种新颖的最先进的方法，可以通过动态视觉传感器（DVS）重建有色图像。 DVS是一个图像传感器，仅表示亮度的二元变化，而没有有关捕获的波长（颜色）或强度水平的信息。我们提出了一种新的方法，可以用DVS和活跃的彩色光源重建完整的空间分辨率彩色图像。我们分析了DVS响应，并介绍了两种重建算法：基于线性和基于卷积神经网络。此外，我们证明了对环境条件（例如照明和距离）变化的算法鲁棒性。最后，与以前的作品相比，我们展示了如何达到最新结果。
This work demonstrates a novel, state of the art method to reconstruct colored images via the Dynamic Vision Sensor (DVS). The DVS is an image sensor that indicates only a binary change in brightness, with no information about the captured wavelength (color), or intensity level. We present a novel method to reconstruct a full spatial resolution colored image with the DVS and an active colored light source. We analyze the DVS response and present two reconstruction algorithms: Linear based and Convolutional Neural Network Based. In addition, we demonstrate our algorithm robustness to changes in environmental conditions such as illumination and distance. Finally, comparing with previous works, we show how we reach the state of the art results.
