v1.9

所属分类:人工智能/神经网络/深度学习
开发工具:Visual C++
文件大小:3395KB
下载次数:4
上传日期:2016-04-13 21:10:45
上 传 者花辣子馍
说明:  vc6.0编写,基于离散余弦变换DCT和bp神经网络的人脸识别。设计流程参考了本站 yaxuan 的v3.3(http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html)(不包含原作的粒子群修正权值及网络结构调整等功能,但调整了训练样本的排列顺序) 感谢原作者,若有侵权我会删除此上传
(Vc6.0 procedures used to prepare, transform and DCT bp neural network recognition based on discrete cosine. The design process of the reference site yaxuan v3.3 (http://www.pudn.com/downloads330/sourcecode/math/detail1452162.html) (The program does not contain particle swarm correction weights and network features such as the original restructuring but adjusted the order of training samples) thanks to the original, if tort I will remove this upload ^ ^)

文件列表:
v1.9\bpNN.cpp (5406, 2015-12-23)
v1.9\bpNN.dsp (3377, 2015-11-08)
v1.9\bpNN.dsw (516, 2015-11-08)
v1.9\bpNN.h (1325, 2015-11-09)
v1.9\bpNN.ncb (41984, 2015-12-22)
v1.9\bpNN.opt (53760, 2015-12-22)
v1.9\bpNN.plg (721, 2015-11-08)
v1.9\Debug\bpNN.obj (12913, 2015-12-23)
v1.9\Debug\Image.obj (10370, 2015-11-10)
v1.9\Debug\ImageList.obj (10642, 2015-12-23)
v1.9\Debug\MAIN.exe (274515, 2015-12-23)
v1.9\Debug\MAIN.ilk (316580, 2015-12-23)
v1.9\Debug\MAIN.obj (20152, 2015-12-23)
v1.9\Debug\MAIN.pch (295920, 2015-12-23)
v1.9\Debug\MAIN.pdb (656384, 2015-12-23)
v1.9\Debug\vc60.idb (99328, 2015-12-23)
v1.9\Debug\vc60.pdb (69632, 2015-12-23)
v1.9\Image.cpp (2178, 2015-11-10)
v1.9\Image.dsp (3389, 2015-11-08)
v1.9\Image.dsw (518, 2015-11-08)
v1.9\Image.h (729, 2015-11-10)
v1.9\Image.ncb (33792, 2015-11-08)
v1.9\Image.opt (48640, 2015-11-08)
v1.9\Image.plg (682, 2015-11-08)
v1.9\ImageList.cpp (3677, 2015-12-23)
v1.9\ImageList.dsp (3437, 2015-11-08)
v1.9\ImageList.dsw (526, 2015-11-08)
v1.9\ImageList.h (751, 2015-11-09)
v1.9\ImageList.ncb (33792, 2015-11-08)
v1.9\ImageList.opt (48640, 2015-11-08)
v1.9\ImageList.plg (700, 2015-11-08)
v1.9\imagelist_test.txt (720, 2015-11-09)
v1.9\imagelist_testȫ.txt (4775, 2005-06-14)
v1.9\imagelist_train.txt (231, 2015-11-09)
v1.9\imagelist_trainȫ.txt (4775, 2015-11-09)
v1.9\MAIN.cpp (2944, 2015-12-23)
v1.9\MAIN.dsp (3749, 2015-11-09)
v1.9\MAIN.dsw (516, 2015-11-08)
v1.9\MAIN.ncb (164864, 2015-12-23)
v1.9\MAIN.opt (55808, 2015-12-23)
... ...

The ORL face database --------------------- This directory contains a set of faces taken between April 1992 and April 1994 at the Olivetti Research Laboratory in Cambridge, UK. There are 10 different images of 40 distinct subjects. For some of the subjects, the images were taken at different times, varying lighting slightly, facial expressions (open/closed eyes, smiling/non-smiling) and facial details (glasses/no-glasses). All the images are taken against a dark homogeneous background and the subjects are in up-right, frontal position (with tolerance for some side movement). The files are in PGM format and can be conveniently viewed using the 'xv' program. The size of each image is 92x112, 8-bit grey levels. The images are organised in 40 directories (one for each subject) named as: sX where X indicates the subject number (between 1 and 40). In each directory there are 10 different images of the selected subject named as: Y.pgm where Y indicates which image for the specific subject (between 1 and 10). When using these images, please give credit to Olivetti Research Laboratory. A convenient reference is the face recognition work which uses some of these images: F. Samaria and A. Harter "Parameterisation of a stochastic model for human face identification" 2nd IEEE Workshop on Applications of Computer Vision December 1994, Sarasota (Florida). The paper is available via anonymous ftp from quince.cam-orl.co.uk and is stored in pub/users/fs/IEEE_workshop.ps.Z If you have any question, please email Ferdinando Samaria: fs@cam-orl.co.uk

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