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基于低分辨率范围的面数据量

基于低分辨率范围的面数据量

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Computer Science,Software,Music,Image Data Classification

数据结构 ? 62.53M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Context Face database composed by a set of range images acquired by the latest generation of range / depth cameras: the Creative Senz3D. Content The database is composed by the faces of 18 people, acquired from different poses: frontal, lateral, etc. Faces have been acquired with and without glasses. The database is structured in different folders as: * /01: person with identifier 01. * /01/test: images for testing the person with identifier 01. * /01/test/01_009.png, ..., 03_096.png, ...: images starting with the same identifier as the root folder (01 in this case) are the true/positive samples, while the others are the false/negative samples. * /01/train: images for training the person with identifier 01. * /01/train/01_034.png, ..., 05_g_168.png, ...: images starting with the same identifier as the root folder (01 in this case= are the true/positive samples, while the others are the false/negative samples. * /02 * /03 * /04 * /04_g: same person as /04, but with glasses. * /05 * ... * /18 Every root folder (01, 02, ...) contains the depth images of one person. The folder name is the identifier of the person (for example 01, 02, etc.). Inside every root folder, there are two sub-folders: test (for testing purposes) and train (for training purposes).
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