图像处理_The NORB dataset, V1.0-small(NORB数据集1.0版-小版数据集).pdfVIP

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图像处理_The NORB dataset, V1.0-small(NORB数据集1.0版-小版数据集).pdf

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图像处理_The NORB dataset, V1.0-small(NORB数据集1.0版-小版数据集)

The NORB dataset, V1.0-small(NORB 数据集1.0 版- 小版数据集) 数据摘要： This database is intended for experiments in 3D object recognition 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). 中文关键词： 3D 物体识别,形状,玩具,统一背景,正视图, 英文关键词： 3D object recognition,shape,toy,uniform background,elevations, 数据格式： IMAGE 数据用途： This database is intended for experiments in 3D object reocgnition from shape. 数据详细介绍： THE NORB DATASET, V1.0 Fu Jie Huang, Yann LeCun Courant Institute, New York University July 2004 last updated: October,2005 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). TERMS / COPYRIGHT This database is provided for research purposes. It cannot be sold. Publications that include results obtained with this database should reference the following paper: Y. LeCun, F.J. Huang, L. Bottou, Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. CVPR 2004. online version CON