文件名称:face-recognition-system
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2013-11-18
- 文件大小:
- 2.04mb
- 下载次数:
- 0次
- 提 供 者:
- 唐**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
可实现多个人脸识别实验,特别适合高校科研和研究所实验,用来做学术等,也欢迎大家进行改进 -All kinds of face recognition system
(系统自动生成,下载前可以参看下载内容)
下载文件列表
face recognition-system\有多种先进的人脸识别算法,可以调用,做实验很好用\PhD_tool\bibs\ACKNOWL1.bib
.......................\................................................\........\....\ACKNOWL2.bib
.......................\................................................\........\check_PhD_install.m
.......................\................................................\........\.lassification\Contents.m
.......................\................................................\........\..............\nn_classification_PhD.m
.......................\................................................\........\..............\return_distance_PhD.m
.......................\................................................\........\Contents.m
.......................\................................................\........\demos\construct_Gabors_and_display_bank_demo.m
.......................\................................................\........\.....\Contents.m
.......................\................................................\........\.....\data\sample_coors.txt
.......................\................................................\........\.....\....\sample_face.bmp
.......................\................................................\........\.....\....\sample_image.bmp
.......................\................................................\........\.....\face_registration_demo.m
.......................\................................................\........\.....\Gabor_filter_face_image_demo.m
.......................\................................................\........\.....\gabor_KFA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\gabor_KPCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\gabor_LDA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\gabor_PCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\KFA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\KPCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\LDA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\PCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\perform_kfa_demo.m
.......................\................................................\........\.....\perform_kpca_demo.m
.......................\................................................\........\.....\perform_lda_demo.m
.......................\................................................\........\.....\perform_pca_demo.m
.......................\................................................\........\.....\phase_cogruency_from_image_demo.m
.......................\................................................\........\.....\phase_congruency_KFA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\phase_congruency_KPCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\phase_congruency_LDA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\phase_congruency_PCA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\.....\preprocessINFace_gabor_KFA_face_recognition_and_evaluation_demo.m
.......................\................................................\........\eval\Contents.m
.......................\................................................\........\....\eva