Description: 人耳识别技术是20世纪90年代末开始兴起的一种生物特征识别技术，与其它生物特征识别技术比较具有以下几个特点：（1）与人脸识别方法比较，耳识别方法不受面部表情、化妆品和胡须变化的影响，同时保留了面部识别图象采集方便的优点，与人脸相比，整个人耳的颜色更加一致、图像尺寸更小，数据处理量也更小。（2）与指纹识别方法比较，耳图象的获取是一种被动方式，即通过非接触方式获取耳图像，不存在通过接触传染疾病的机会，因此，其信息获取方式具有容易被人接受的优点。（3）与虹膜识别方法比较，首先，由于人脸和头发的存在，需要在耳识别过程中增加一个耳区域定位步骤，这并不影响耳特征的提取，而眼毛对虹膜的遮挡将直接影响虹膜特征的提取。头发对于耳的遮挡可以容易地避免，而眼毛对于虹膜的遮挡是生理结构决定的，也是难以避免的。其次，就目前的技术而言，虹膜采集需要测试者与采集装置之间的位置在机器发出的语言提示下进行不断地调整，同时要瞪大眼睛，使虹膜尽可能暴露，初试者通常要反复多次调整才能够达到要求，而耳采集方式与脸采集方式基本相同，测试者很容易达到拍摄图象的要求条件。最后，虹膜采集装置的成本要高于耳采集装置。-ear recognition technology of the 20th century, the beginning of the end of the 1990s the rise of a biometric identification technology, and other biometric identification technology compared with the following characteristics : (1) and face recognition methods, Ear Recognition from facial expressions, cosmetics and beards change, while retaining a facial recognition image acquisition convenience advantages, and face, the ears of the whole person more consistent color. Image size is smaller, the amount of data processing are even smaller. (2) and fingerprint identification methods, the ear image acquisition is a passive way, through non-contact ear acquire images, and there is no disease transmitted by the opportunity, therefore, its way to obtain information is easily accepted advantages. Platform: |
Size: 202988 |
Author:蒋建军 |
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Description: 一个经典的人脸识别算法实例,提供人脸五官定位具体算法及两种实现流程.-a classic example of face recognition algorithm, providing facial features specific positioning algorithm and the two implementation process. Platform: |
Size: 3620864 |
Author:周广新 |
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Description: 便于使用的收集人脸图像建立数据库的工具程序。供人脸检测/识别/表情/姿态等模式识别、人工智能领域的研究者使用。可以方便地从网页中收集人脸照片，提供良好的交互界面对照片在模式识别，尤其是biometric领域中所需的各种属性进行标注，建立数据库。-easy-to-use collection of facial image database tools procedures. For Face detection/identification/expression/gestures, such as pattern recognition, artificial intelligence researchers in the field use. Can easily collected from the website pictures of faces with a good interface for photos in pattern recognition, particularly biometric field for the various attributes tagging, the establishment of databases. Platform: |
Size: 60416 |
Author:冯雪涛 |
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Description: 站长！这是使用LDA和PCA模式识别方法对人脸特征进行提取计算的Matlab程序框架，比较好！-head! This is the LDA and the use of pattern recognition methods on PCA Facial Feature Extraction for the Matlab program, good! Platform: |
Size: 3072 |
Author:Jesson |
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Description: Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.-Compression of face images impact the perf ormance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintai ns high image quality in facial regions while co mpressing the background more, with minimal impact on FR performance. Platform: |
Size: 5389312 |
Author:田巾 |
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Description: 人脸表情识别是模式识别领域中一个非常活跃的研究方向。人脸表情识别包括:从背景图像中检测人脸 在视频中对人脸进行跟踪 提取表情特征 表情识别。本文在人脸表情识别的四个主要环节上均进行了研究工作。-Facial expression recognition is the field of pattern recognition in a very active research direction. Facial Expression Recognition include: background image from the detected face in the video face tracking for facial expression extraction characteristic expression recognition. In this paper, Facial Expression Recognition of the four main areas were carried out research work. Platform: |
Size: 4410368 |
Author:阳关 |
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Description: 我的一个作业，用的是NNR的脸部识别算法，精确率到了90％-One of my operations, using a facial recognition algorithm NNR, accurate rate to 90 Platform: |
Size: 3072 |
Author:binchenh |
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Description: 我正在作人脸表情识别的毕业设计 这篇《人脸表情识别方法》的论文给出了不少很有参考价值的方法 包括静态动态表情提取方法 表情识别的方法 -I was Zuoren Facial Expression Recognition of the graduate design of this Facial Expression Recognition Method paper gives a lot of valuable methods include static dynamic expression extraction method expression recognition method Platform: |
Size: 800768 |
Author:张波 |
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Description: 这是给我帮助很大的论文之一 详细说明了人脸表情识别的过程以及完成相关步骤的方法总结 对于刚刚接触到这一领域的朋友会有很大帮助-This is a great help to me, one of the paper details the facial expression recognition process and the completion of the relevant steps for the method of summing up in this area has just come into contact with friends would be of considerable help Platform: |
Size: 509952 |
Author:张波 |
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Description: 特征提取是人脸识别技术中一个基本而
又十分重要的环节，寻找有效的特征是解决识别问题的关键本文提出了一种新的人脸特征提取方法。该方法通过可调因子有效结合人脸局部流形结构信息和样本
的类别信息，充分提取样本的判别信息，将LPP 发展成为有监督方法。实验结果表明，该方法具有较好的
识别效果。-Feature Extraction in Face Recognition Technology is a fundamental and very important to find the characteristics of an effective solution to identify the crux of the problem is proposed in this paper a new facial feature extraction methods. This method is through the effective integration of tunable factor partial face manifold structure of information and samples of the types of information, the full extraction of the sample discriminant information, will be developed into a supervised LPP method. Experimental results show that the method has better recognition effect. Platform: |
Size: 173056 |
Author:张波 |
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Description: 为了更准确地识别人的表情，在识别人脸7 种基本表情（愤怒、厌恶、恐惧、高兴、无表情、悲伤和惊讶）时，采用了局域二值
模式技术提取面部特征，进行由粗略到精细的表情分类。在粗略分类阶段，7 种基本表情中的2 种表情被选为初步分类结果（候选表情）。
在精细分类阶段，选用计算加权卡方值确定最终分类结果。采用日本的Jaffe 表情数据库来验证算法性能，对陌生人表情的识别率为77.9％，
其结果优于采用同样数据库的其他方法，且易于实现-In order to more accurately identify the person s facial expressions, in the identification of seven kinds of basic facial expressions (anger, disgust, fear, happy, expressionless, sadness and surprise), the use of local binary pattern of facial features extraction techniques, carried out by the rough to the fine expression classification. In the rough classification stage, the seven kinds of basic expressions in the two kinds of expression was selected as the initial classification results (candidate expressions). In the fine classification stage, the choice of calculating the weighted chi-square value to determine the final classification results. Jaffe expressions used in Japan to validate algorithm performance database of strangers face recognition rate was 77.9, the result is better than using the same database in other ways, and are easy to achieve Platform: |
Size: 212992 |
Author:张波 |
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Description: 基于面部动画参数抽取的特征跟踪,做模式识别方面的比较适合-Based on the facial animation parameter extraction of feature tracking, and more suitable for pattern recognition aspects Platform: |
Size: 154624 |
Author:111 |
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Description: 这是个人脸识别程序，是关于人脸特征提取的。-This is a face recognition program, on the facial feature extraction. Platform: |
Size: 9048064 |
Author:户利利 |
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Description: 主要介紹臉部辨識系統，建立人臉資料庫，訓練樣本，來達到辨識的目的。-Introduces facial recognition system, the establishment of human faces database, training samples to achieve the purpose of identification. Platform: |
Size: 288768 |
Author:黃自 |
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Description: 这是一套人脸表情库，作表情识别的兄弟姐妹可能要用到，希望大家喜欢。-This is a set of facial expression database for facial expression recognition of the brothers and sisters may take into account, I hope everyone likes. Platform: |
Size: 585728 |
Author:梁哲 |
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