THE NORB DATASET, V1.0

This database is intended for experiments in 3D object reocgnition from shape. It contains images of 50 toys belonging to 5 generic categories: four-legged animals, human figures, airplanes, trucks, and cars. The objects were imaged by two cameras under 6 lighting conditions, 9 elevations (30 to 70 degrees every 5 degrees), and 18 azimuths (0 to 340 every 20 degrees). The training set is composed of 5 instances of each category (instances 4, 6, 7, 8 and 9), and the test set of the remaining 5 instances (instances 0, 1, 2, 3, and 5). CONTENT The files are gzipped for download purpose. After uncompressed, they are in a simple binary matrix format, with file postfix ".mat". The file format is explained in a later section. The "-dat" files store the image sequences. The "-cat" files store the corresponding category of the images. Each "-dat" file stores 29,160 image pairs (6 categories, 5 instances, 6 lightings, 9 elevations, and 18 azimuths). The 6-

本数据库旨在用于从形状识别3D物体的实验研究。其中包含属于五大通用类别（四足动物、人形、飞机、卡车和汽车）的50个玩具的图像。这些物体在两种相机下，六种照明条件下，九种高度（每5度一个区间，从30度至70度），以及十八种方位角（每20度一个区间，从0度至340度）进行拍摄。训练集由每个类别中的5个实例组成（实例4、6、7、8和9），测试集则包含剩余的5个实例（实例0、1、2、3和5）。内容方面，文件以gzip格式压缩以便下载。解压缩后，文件以简单的二进制矩阵格式存储，文件后缀为“.mat”。文件格式将在后续章节中进行详细解释。以“-dat”结尾的文件存储图像序列，而以“-cat”结尾的文件则存储相应的图像类别。每个“-dat”文件包含29,160对图像（6个类别、5个实例、6种照明、9种高度和18种方位角）。