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C++mianshi
- C++面试题集(最全的CC++试题集和答案)Fetch,Datebase,SoftWare,Ajax,数据库开发,软件开发,网页设计,中华网魂,网魂软件,NetFetch,数据库面试,C++面试-face questions Set C (CC most comprehensive collections of examination questions and answers) Fetch, Datebase. SoftWare, Ajax, database development, sof
YaleFaces_Original
- 有关人脸识别的黄色人种人脸数据库，以及和人脸的检测与定位等等,-Face recognition of the yellow race face database, as well as the human face of detection and location, etc.,
sw1
- 从大量的正侧面脸部照片采集着手构建了正、侧面脸部信息的人脸库，依据人体测量学、人体解剖学等脸部关键特征的原则定义了脸部测量点及测量项目。基于建立的人脸数据库中测量点定义模型的正侧面特征点，采用径向基函数插值的方法对模型进行调整，生成特定人脸模型。-From the side of the face is a lot of photos to build a collection is started, the side face of the face database of informati
face
- Comparison of face verification results on the XM2VTS database
SRF
- In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
MITEx-face-database
- MITE人脸库，包括人脸和非人脸样本，作为人脸检测的训练样本-MITE face database,training samples,face detection
DCT
- 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离 散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等 方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出, DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速 度。-A face recognition method based on DCT for face feature extractio
ORL_DataBase
- ORL face database which is considered to be a standard face database for comparison of face recognition algorithms.
renlianshibieMATLAB
- 本文针对复杂背景下的彩色正面人脸图像,将肤色分割、模板匹配与候选人脸图像块筛选结合起来,构建了人脸检测实验系统,并用自制的人脸图像数据库在该系统下进行了一系列的实验统计。-Color frontal face images under complex background, skin color segmentation, template matching candidates face image block screening combined to build a face detect
1
- 高级数据库面试题，SQL面试题，数据库面试题-The Advanced Database interview questions SQL face questions, database interview questions
jbptunikompp-gdl-muhamadfua-28056-8-13_uniko-3.ra
- Experimental results on Bern face database and our 350 subjects database show that our method makes impressive performance improvement compared with the conventional Eigenfaces and template matching techniques.
sjkmst
- 常见的数据库面试题，数据库面试人员必备的面试题-Common database interview questions, the database must face questions interviewers
FisherFacesCheck
- In this paper, we extend Fisherface for face recognition from one example image per son. Fisherface is one of the most successful face recognition methods. However, Fisherface requires several training images for each face, so it cannot be ap
LLL
- 数据库的复习资料，帮你更好地提高数据库知识，更加轻松地面对考试，值得拥有-Review the information in the database, the database can help you better improve knowledge more easily face the exam, worth having
yalefaces_evalTest
- The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions. The data format of this database is the same as the Yale Face Database B. Please refer to the homepage of the Yale Face Databas
06701687
- The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive
mit
- 关于mit数据库的，做人脸识别可能有帮助！-About mit database, do face recognition might help!
[first_author]_2014_Digital-Signal-Processing
- This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
first-review-report
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
sparse-representation-pdf
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the