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Description: Overview of the FRGC
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Size: 478208 |
Author: 李亚 |
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Description: 二维照片的人脸识别对光照、姿态和化妆等因素很敏感，故提出了一种将三维局部二值模式(3DLBP)和核享，1剐分析(KDA)相结合的三维人脸识剐方法．采用3DLBP描述人脸深度图像的特征，高斯核函数KDA 作为分类器，使用Chi平方统计改进高斯核函数、采用FRGC v2．0中2003春季采集的三维人脸库进行实验．实验结果表明，该
方法在每人2个训练样本时，识别率为91．8％，而PCA和3DLBP的识别率分别为60．4％和78．3％；当每人的训练样本数增至6个时，识别率为98．4％，而PCA和3DLBP的识别率分别为87．8％和96．3-3D Face Recognition Based on 3DLBP and Kernel Discriminant Analys
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Size: 247808 |
Author: 宋祖波 |
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Description: 三维人脸数据库FRGC V1. 0,2.0包括图像的深度数据和纹理，格式分别保存为：abs和ppm
读取abs数据中的深度z轴数据，保存为480*640的矩阵，进而进行数据处理研究。并且贴ppm纹理，便于观察。
-Three-dimensional face database FRGC V1. 0,2.0 depth data including images and textures, formats were saved as: abs abs data and ppm reads depth z-axis data, save it as a 480* 640 matrix, and then studied for data processing . And paste ppm texture, easy to observe.
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Size: 2318336 |
Author: arfu |
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Description: 運用PCA將高精度人臉的深度資料(FRGC database)分析主成分後重建低精度的Kinect深度資訊值，細化Kinect所產生的量測誤差。重建出較好的三維人臉模型-The depth of data using PCA face of precision (FRGC database) Principal component analysis of the reconstruction after the low accuracy of Kinect depth information value, refine measurement errors arising Kinect. Reconstruct a three-dimensional face model better
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Size: 4055040 |
Author: 吳柏勳 |
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Description: A useful 3D that could be used in face recognition tests-A useful 3D that could be used in face recognition tests
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Size: 2778112 |
Author: amounou |
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