CIFAR10-DVS_New

This folder contains the neuromorphic vision dataset named as 'CIFAR10-DVS' obtained by displaying the moving images of the CIFAR-10 dataset(http://www.cs.toronto.edu/~kriz/cifar.html) on a LCD monitor. The dataset is used for event-driven scene classification and pattern recognition. These recordings can be displayed using the jAER software (http://sourceforge.net/p/jaer/wiki/Home) using filters DVS128.The files "dat2mat.m" and "mat2dat.m" in (http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/) can be used to transfer lists of events between jAER format (.dat or .aedat) and matlab. The high-sensitivity DVS used in our recording system reported in:P. Lichtsteiner, C. Posch, and T. Delbruck, “A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor,” IEEE J. Solid-State Circuits, vol. 43, no. 2, pp. 566–576, Feb. 2008 A single 128x128 pixel DVS sensor was placed in front of a 24" LCD monitor. Images of CIFAR-10 were upscaled to 512 * 512 through bicubic interpolation, and displayed on the LCD monitor with circulating smooth movement. A total of 10,000 event-stream recordings in 10 classes(airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck) with 1000 recordings per classes were obtained.本文件夹包含名为CIFAR10-DVS的神经形态视觉数据集（neuromorphic vision dataset），该数据集通过在液晶显示器（LCD monitor）上播放CIFAR-10数据集（http://www.cs.toronto.edu/~kriz/cifar.html）的动态图像生成。本数据集适用于事件驱动场景分类与模式识别任务。可通过jAER软件（http://sourceforge.net/p/jaer/wiki/Home）并搭配DVS128滤波器对该类录制数据进行可视化展示。来自http://www2.imse-cnm.csic.es/caviar/MNIST_DVS/的dat2mat.m与mat2dat.m脚本文件，可用于实现jAER格式（.dat或.aedat）与Matlab格式之间的事件列表转换。本录制系统所使用的高灵敏度动态视觉传感器（Dynamic Vision Sensor, DVS）相关文献参见：P. Lichtsteiner、C. Posch与T. Delbruck发表于《IEEE Journal of Solid-State Circuits》2008年2月第43卷第2期，页码566-576的论文《A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor》。实验中采用一台128×128像素的DVS传感器，放置于24英寸LCD显示器前方。CIFAR-10数据集图像通过双三次插值（bicubic interpolation）放大至512×512分辨率，并以循环平滑运动的方式在LCD显示器上播放。最终共采集得到10个类别（飞机、汽车、鸟类、猫、鹿、狗、青蛙、马、船舶、卡车）下的10000条事件流录制数据，每个类别包含1000条数据。