登录
首页 » matlab » MATLAB课堂考勤(GUI)

MATLAB课堂考勤(GUI)

于 2021-04-27 发布
0 436
下载积分: 1 下载次数: 21

代码说明:

说明:  MATLAB课堂考勤(GUI) 该课题为基于MATLAB pca的人脸考勤系统。可以从一副图像中找出多人人脸,分割,计算人数,然后提前制作好这些人的人脸库,进行逐一识别是谁,是不是库内人脸,如是,具体是谁,如果不是,那提示库外人脸。具有友好的人机交互界面,还可以二次开发成摄像的,但是摄像头误差可能会有点。识别流程为:读取图像,人脸定位,人数统计,人脸分割,人脸识别,库内外判别。(The subject is face attendance system based on MATLAB PCA. We can find multiple faces from an image, segment and calculate the number of people, and then make a face database of these people in advance to identify who they are one by one, whether they are the faces in the database, if so, who they are, and if not, prompt the faces outside the database. It has a friendly human-computer interface and can be developed into a camera again, but the camera error may be a little bit. The recognition process includes: image reading, face location, number of people statistics, face segmentation, face recognition, identification inside and outside the database.)

文件列表:

MATLAB课堂考勤(GUI), 0 , 2020-03-09
MATLAB课堂考勤(GUI)\img_gray.mat, 3776026 , 2020-01-09
__MACOSX, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI), 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\._img_gray.mat, 230 , 2020-01-09
MATLAB课堂考勤(GUI)\.DS_Store, 6148 , 2020-03-09
__MACOSX\MATLAB课堂考勤(GUI)\._.DS_Store, 120 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\03, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\03\s1.bmp, 143062 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03\._s1.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\03\s2.bmp, 23022 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03\._s2.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\03\s3.bmp, 37686 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03\._s3.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\03\s4.bmp, 105522 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03\._s4.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\03\s5.bmp, 25446 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\03\._s5.bmp, 230 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._03, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\04, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\04\s1.bmp, 76854 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04\._s1.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\04\s2.bmp, 43254 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04\._s2.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\04\s3.bmp, 230518 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04\._s3.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\04\s4.bmp, 43254 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04\._s4.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\04\s5.bmp, 99790 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\04\._s5.bmp, 230 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._04, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\05, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\05\s1.bmp, 17382 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05\._s1.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\05\s2.bmp, 27414 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05\._s2.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\05\s3.bmp, 134250 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05\._s3.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\05\s4.bmp, 15390 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05\._s4.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\05\s5.bmp, 69366 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\05\._s5.bmp, 230 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._05, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\02, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\02\s1.bmp, 16114 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02\._s1.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\02\s2.bmp, 59838 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02\._s2.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\02\s3.bmp, 202074 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02\._s3.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\02\s4.bmp, 666990 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02\._s4.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\02\s5.bmp, 25446 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\02\._s5.bmp, 230 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._02, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\07, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\07\s1.bmp, 54190 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07\._s1.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\07\s2.bmp, 60830 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07\._s2.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\07\s3.bmp, 67854 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07\._s3.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\07\s4.bmp, 62262 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07\._s4.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\07\s5.bmp, 76374 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\07\._s5.bmp, 230 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._07, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\01, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\01\s1.bmp, 44950 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01\._s1.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\01\s2.bmp, 45810 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01\._s2.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\01\s3.bmp, 51930 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01\._s3.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\01\s4.bmp, 53254 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01\._s4.bmp, 230 , 2019-05-26
MATLAB课堂考勤(GUI)\人脸库\01\s5.bmp, 44950 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\01\._s5.bmp, 230 , 2019-05-26
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._01, 230 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\06, 0 , 2020-03-09
MATLAB课堂考勤(GUI)\人脸库\06\s1.bmp, 12342 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06, 0 , 2020-03-20
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06\._s1.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\06\s2.bmp, 40074 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06\._s2.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\06\s3.bmp, 15606 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06\._s3.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\06\s4.bmp, 40422 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06\._s4.bmp, 230 , 2019-06-12
MATLAB课堂考勤(GUI)\人脸库\06\s5.bmp, 87094 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\06\._s5.bmp, 230 , 2019-06-12
__MACOSX\MATLAB课堂考勤(GUI)\人脸库\._06, 230 , 2020-03-09

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • ArtificialFish
    一种新的优化算法,解决工程优化(最大,最小及最优等等)问题及优化任务.(A new optimization algorithm to solve engineering optimization (maximum, minimum and optimal, etc.) and optimization of mission.)
    2007-08-23 18:04:36下载
    积分:1
  • dct
    计算单纯的DCT(离散余弦变换)的变换,非常有用(calculator the dct transform s programme,vrey useful for you)
    2009-12-03 20:13:48下载
    积分:1
  • octave-a4.pdf.tar
    GNU Octave A high-level interactive language for numerical computations Edition 3 for Octave version 3.0.0 July 2007 (GNU Octave A high-level interactive language for numerical computations Edition 3 for Octave version 3.0.0 July 2007)
    2011-05-03 20:15:48下载
    积分:1
  • admain
    MATLAB FOR FULL MIMO OFDM CODING
    2014-01-19 14:40:29下载
    积分:1
  • test3
    利用matlab实现hog特征提取与SVM分类方法 用来识别人车与背景(Using matlab nonlinear SVM classification feature extraction and HOG achieve background test vehicles)
    2016-01-09 14:33:57下载
    积分:1
  • Leaf_Disease_Detection_code
    Leaf disease detection and classification in matlab..i t contains input images. it can classify well with a disease name. it needs to be improved in matlab
    2021-03-28 20:49:11下载
    积分:1
  • electromagV2
    this is a same Matlab programs for elecotromagnetic
    2014-09-27 17:13:36下载
    积分:1
  • Data-processing
    基于FFT的功率谱分析程序设计与应用 2)对实验所采集的转子振动信号进行频谱分析 2.讨论: 1) 信号经过均值化处理或不经过均值化处理的结果比较 2)采用不同窗函数时的谱结果(矩形窗函数, 汉宁窗函数,汉明窗) 3)典型函数的频谱(矩形窗函数, 汉宁窗函数,直线,阶跃函数,δ函数,方波,三角波等) 4)整周期和非整周期采样时两者的比较 5)讨论实验结果 (Based on the FFT power spectrum analysis of program design and Application2) on experimental collection of the rotor vibration signal spectrum analysis2 discussion:1) the signal through the mean treatment or not after a mean treatment results comparison2) using different window function spectral results ( rectangle window, Hanning window function, the Hamming window )3) the typical functions of spectrum ( rectangle window, Hanning window function, linear, step function, function, square wave, triangular wave)4) the whole cycle and non-integer-period sampling time comparison5) discussion of experimental results)
    2012-01-05 15:45:44下载
    积分:1
  • MY_QPSK
    Another QPSK MODEM simulation
    2009-06-19 07:50:20下载
    积分:1
  • OSU_SVM3.00
    说明:  matlab支持向量机用于多类模式的分类,较全面,可以迅速解决问题,值得下载!(matlab support vector machine model for multi-category classification, a more comprehensive, you can quickly solve the problem, it is worth to download!)
    2009-08-12 14:40:36下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载