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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre - processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information
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Size: 2281758 |
Author: 陈万通 |
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Description: 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.)
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Size: 10977526 |
Author: wfw |
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Description: 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study
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Size: 1021032 |
Author: 苗夏菁 |
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Description: 使用RGB模型来进行人脸检测，识别的结果还可以，可以作为其他检测方法的对比-use RGB model for face detection and recognition of the results can also can serve as a contrast detection method
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Size: 114554 |
Author: 唐盛 |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information
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Size: 2281472 |
Author: 陈万通 |
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Description: 人脸的检测与定位(在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究。)-Face Detection and Location (pretreatment, using a special facial features enhanced facial skin and the contrast between local and from the threshold value of two methods to improve the effectiveness of the pretreatment. Image segmentation, to achieve the classic division algorithm, and the use of group Algorithm the division results. in the face matching, based on the realization of the eyes and mouth of the geometric model matching, as well as evaluation of the structure function were studied.)
Platform: |
Size: 10977280 |
Author: wfw |
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Description: 本文对几何模型匹配方法进行了研究，提出了一套完整的人脸定位算法。在预处理部分，采用了特别的增强人脸特征与脸部皮肤之间对比度的方法及局域取阈值二值化方法，改进了预处理的效果。在图像分割部分，实现了经典的分合算法，并且使用成组算法改进了分合的效果。在人脸匹配部分，实现了基于眼睛和嘴的几何模型匹配，并对评价函数的构造进行了研究-geometric model of this matching method for the study and submit a complete set of facial positioning algorithm. In preprocessing, using a special facial features enhanced facial skin and the contrast between the methodology and obtain local threshold value of the two methods, improved the pretreatment results. Image segmentation, the realization of the classical division algorithm, and the use of group division algorithm improved results. Face in the match, based on the realization of the eyes and mouth of the geometric model matching and evaluation function of the tectonic study
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Size: 1020928 |
Author: |
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Description: 使用RGB模型来进行人脸检测，识别的结果还可以，可以作为其他检测方法的对比-use RGB model for face detection and recognition of the results can also can serve as a contrast detection method
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Size: 114688 |
Author: 唐盛 |
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Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high.
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Size: 380928 |
Author: 阳关 |
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Description: this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre - processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information
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Size: 816128 |
Author: WGxin |
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Description: 为了提供较大的秘密信息嵌入量和保持良好的载密图像质量,依据人眼对变换剧烈及较暗区域均不敏感的视觉特点,提出了一种基于小波对比度和最低比特位替换(LSB)的图像密写方法.该方法先将载体图像分成固定大小的小块,对每一小块进行小波分解后计算小波对比度.然后,根据该块小波对比度绝对值之和确定该块可以嵌入的位平面层数.最后,采用LSB密写技术逐层嵌入秘密信息.实验结果表明,该密写方法能嵌入较多的信息和保持良好的载密图像质量,并且可直接从载密图像中提取秘密信息.-In order to provide larger capacity of the hidden secret data and to maintain a good visual quality of stego-image,in accordance with the visual property that human eyes are insensitive to edged area and dark area,a novel steganographic method based on wavelet contrast and Least-Significant-Bit(LSB)replacement is presented.First,an image is divided into blocks,and every block is decomposed into one-level wavelet to obtain the wavelet contrast.Then,the number of bit-plane embedded is decided with the s...
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Size: 263168 |
Author: boe |
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Description: 神经网络的人脸识别 有错误 不知道怎么改-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information
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Size: 515072 |
Author: 黎景振 |
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Description: Advances in data collection and storage capabilities during the past decades have led to an information overload in most sciences. Researchers working in domains as diverse as engineering, astronomy, biology, remote sensing, economics, and consumer transactions, face larger and larger observations and simulations on a daily basis. Such datasets, in contrast with smaller, more traditional datasets that have been studied extensively in the past, present new challenges in data analysis. Traditional statistical methods break down partly because of the increase in the number of observations, but mostly because of the increase in the number of variables associated with each observation. The dimension of the data is the number of variables that are measured on each observation.
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Size: 440320 |
Author: masoom |
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Description: Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.-Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.
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Size: 28409856 |
Author: ramanaidu |
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Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作。-The main content of this issue is image preprocessing, it is mainly to get from the camera face images and then processed in order to improve the accuracy of positioning and identification. The module consists mainly of light compensation, gray image, Gaussian smoothing, balanced histogram, image contrast enhancement, image preprocessing module in the system plays a crucial role in image processing a direct impact on the back of the positioning and identification of the work.
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Size: 496640 |
Author: 文龙 |
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Description: 基于C#编写的人脸识别系统，首先进行人脸图片的预处理，包括：标记人脸区域，光照补偿，灰度化，高斯平滑，直方图均衡化处理，对比度增强，二值化变换，去除孤立点等操作，然后标记人脸特征点，提取特征信息，与数据库中信息比较进行识别-Written in C#-based face recognition system, the first face image preprocessing, including: labeled human face region, illumination compensation, graying, Gaussian smoothing, histogram equalization, contrast enhancement, binarization transformation to removeisolated point operation, and then mark the facial feature points extracted feature information compared with the information in the database to identify
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Size: 5063680 |
Author: 王华伟 |
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Description: 使用emcv C#进行人脸定位与识别对比,各位要自己下载libemgucv-windows-universal-cuda-2.9.0.1922-beta.exe文件-Use emcv C# for face location and recognition contrast, you have to download their libemgucv-windows-universal-cuda-2.9.0.1922-beta.exe file
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Size: 610304 |
Author: 泛雪花园 |
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Description: 通过vc与opencv结合，实现功能人脸分析、人脸的对比，以及输出各项参数。-Through the combination of VC and opencv, realize the contrast function face analysis, face, and output parameters.
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Size: 29897728 |
Author: 杨哥 |
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Description: 人脸识别代码，提取人脸特征，进行人脸对比，给出人脸相似度，识别效果还行,VS2015编译通过(Face recognition code, face feature extraction, face contrast, face similarity, recognition effect is good, build with VS2015)
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Size: 19400704 |
Author: 星星雨 |
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Description: 利用QT的http模块，与face++ API进行通信，包括人脸上传、人脸对比、人脸识别(Using the HTTP module of QT to communicate with face++ API, including face upload, face contrast, face recognition)
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Size: 9216 |
Author: 疯狂青蛙871 |
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