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Description: 人脸识别Adaboost源代码,用matlab编写实现，使用Adaboost算法进行人脸检测-source code for face recognation using Adaboost
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Size: 1024 |
Author: 孙家冕 |
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Description: An Experimental Study on Automatic Face Gender Classification
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Size: 195584 |
Author: Alarmmy |
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Description: Human face contains a variety of information for adaptive social interactions amongst people. In fact, individuals are able to process a face in a variety of ways to categorize it by its identity, along with a number of other demographic characteristics, such as gender, ethnicity, and age. In particular, recognizing human gender is important since people respond differently according to gender. In addition, a successful gender classification approach can boost the performance of many other applications, including person recognition and smart human-computer interfaces.
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Size: 35840 |
Author: mhm |
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Description: An experimental study on automatic face gender classification
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Size: 197632 |
Author: byeongjun jeong |
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Description: 通过人脸可以检测出性别，不是特别成熟，但是这个框架运行完整-Through the face can be detected in gender, not very mature, but the framework to run complete
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Size: 215040 |
Author: 老李 |
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Description: 人脸识别领域比较好的文章，人脸识别和性别识别-Face recognition domain relatively good article, face recognition and gender recognition
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Size: 980992 |
Author: 老李 |
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Description: gender classification research
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Size: 548864 |
Author: dhyaaman |
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Description: 进行人脸识别，提取男女性别特征，年龄特征，并且运用了支持向量机的方法进行识别-For face recognition, extraction gender characteristics, age characteristics, and using support vector machine (SVM) method to recognize
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Size: 217088 |
Author: 肖飞 |
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Description: 对人脸进行性别识别，采用距离分类器计算测试样本与训练样本的距离-Face gender recognition
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Size: 3072 |
Author: 王琳 |
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Description: 包括中西方人的人脸性别识别。基于局部Gabor变换直方图序列(LGBPHS)的方法。图像噪声、光照和人脸角度变化对性别识别的影响都非常小。
尤其对东方人的性别识别率可达96 -Including Westerners who face gender identification. Based on local Gabor transform histogram sequence (LGBPHS), method. Image noise, light and face angle change gender identification are very small. Especially Asians gender recognition rate up to 96
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Size: 26656768 |
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Description: Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased
face retrieval by constructing semantic codewords for efficient
large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.-Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased
face retrieval by constructing semantic codewords for efficient
large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
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Size: 18432 |
Author: suhail |
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Description: 包含一个性别分类的cpp文件，和已经训练好的gender.yml模型，最后计算出样本分类准确率。建议使用AR人脸数据库。使用格式为genderLBP 训练样本.txt 测试样本.txt。因为不用训练模型了，测试样本随便写个行了。测试样本的格式是：路径 1或者0。1表示男性，0表示女性。-Cpp file contains a gender classification, and has trained gender.yml model, and finally calculate the sample classification accuracy. Recommend the use of AR face database.
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Size: 2048 |
Author: 李红梅 |
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Description: openbr，是一个类似opencv的三方库，有强大的人脸识别，人脸性别分类，年龄估计等功能实现，需要的可以下载安装-Openbr, is a three parties of similar opencv library, has a strong face recognition, facial gender classification, age estimation function implementation, need to download and install
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Size: 12883968 |
Author: 罗国中 |
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Description: android识别图片中的人脸，并标注可能的性别，年龄等特征。-Android identification of the image of the face, and the possibility of gender, age and other characteristics.
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Size: 19649536 |
Author: nash |
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Description: 实现人脸识别的小代码，正确率还可以，基于PCA实现人脸识别，Opencv的代码-Accuracy can also realize face recognition of small code, and based on the PCA face recognition, Opencv code
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Size: 1024 |
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Description: 进行OpenCV的LDA人脸性别检测系统，效果还可以的，我做了测试的-OpenCV LDA face gender testing system, the effect can also, I did the test
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Size: 2048 |
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Description: 人脸性别识别，主要使用Opencv编制而成，可以主动对图像中人脸进行跟踪识别，并识别人脸性别。-Face recognition, the main use of Opencv prepared, can take the initiative in the image of the face to track identification and identification of gender face.
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Size: 44083200 |
Author: 高峰记忆 |
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Description: This program is about age or gender estimation face images -This program is about age or gender estimation face images
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Size: 418816 |
Author: radhakrishnan |
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Description: 对输入的图像进行分别人脸及性别检测，并标记人脸位置，显示识别性别(Face and sex detection of the input image)
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Size: 86024192 |
Author: Bingoal
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Description: 这是人脸识别的相关代码，你可以进行人脸识别获取年龄，性别通过打开摄像头(There are some code above face recognition,you can obtain gender through opening the camera)
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Size: 1024 |
Author: 李二狗m
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