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Description: vc开发的人脸检测系统，可以对人脸及眼睛、嘴巴进行定位-vc development of face detection system, people can face and eyes and the mouth for positioning
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Size: 188201 |
Author: 赵辉 |
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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: 对人脸进行定位标定眼、嘴和鼻。算法简单易行。效果非常好。VC＋＋6.0编写。运行环境：2000，xp-right positioning calibration eyes, mouth and nose. A simple algorithm. The effect was very good. VC + +6.0 prepared. Operating environment : 2000, xp
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Size: 274666 |
Author: 谢益纯 |
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Description: 通过识别眼睛和嘴把的位置来确定人脸在照片中的位置-by identifying the eyes and mouth put in place to determine the face of the photo location
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Size: 222137 |
Author: 徐明媚 |
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Description: 人脸定位与识别的VC++实例。提供了友好的操作界面。输入人脸图像后，提供两种人脸区域的检测方法。然后在人脸区域中可自动标记眼睛、嘴巴、鼻子及边缘提取。-Face recognition and positioning of VC examples. Provide a friendly interface. Face image input, provide two kinds of people in the region face detection method. Then people in the region face an automatic marking the eyes, mouth, nose and edge extraction.
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Size: 69772 |
Author: leilin |
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Description: 基于YCrcb肤色模型的人连检测系统.用VC++实现.还包括人脸、眼睛、嘴巴的定位分割。-YCrcb color model based on the long-detection system. With VC. Also including face, eyes, Segmentation mouth positioning.
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Size: 776192 |
Author: 孙杰 |
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Description: 一个非常好的人脸检测算法，可以进行补光处理，人脸区域的检测，人嘴眼的定位匹配-A very good face detection algorithm, can deal with fill light, Face region detection, human mouth to match the positioning of eyes
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Size: 985088 |
Author: ktj |
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Description: 基于图像处理的人脸识别代码，效果比较好，有多种方法，可以实行边缘提取，标记眼睛，标记嘴巴-Face recognition based on image processing code, the effect is better, has a variety of methods, edge detection can be implemented, marking the eyes, marking the mouth
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Size: 66560 |
Author: gadmyth |
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Description: 人脸检测和跟踪学位论文；人脸检测定位：运动区域检测预处理， 肤色区域的分割和利用二值形态学等操作的人脸粗检，利用眼、嘴特征的彩色信息检测的人脸细检，利用投影法检测眼睛和嘴巴亮块的人脸定位。提出了一种基于自适应肤色模型匹配与验证的方法对人脸进行跟踪-Face detection and tracking dissertation Face Detection positioning: Sports regional detection pretreatment, color region segmentation and the use of binary morphological operations, such as human faces rough seizure, the use of eyes, mouth features detection of color information Face Fine Frederick, using projection method bright eyes and mouth block face positioning. A model based on adaptive color matching and validation of the method of face tracking
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Size: 3622912 |
Author: 田卉 |
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Description: 人脸定位实例，边缘提取，标记眼睛，标记嘴巴鼻子-Human Face Localization examples, edge detection, marking the eyes, mouth and nose tag
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Size: 221184 |
Author: pengwei |
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Description: face, eyes, mouth detection with camera web...with opencv and c....Colombia mzls
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Size: 180224 |
Author: maurogallo |
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Description: High information redundancy and correlation in face images result in efficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.-High information redundancy and correlation in face images result in inefficiencies when such images are used directly for recognition. In this paper, discrete cosine transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when DCT coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes DCT-based face recognition much faster than other approaches.
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Size: 25600 |
Author: mhm |
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Description: Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally that when Wavelet coefficients are fed into a backpropagation neural network for classification, a high recognition rate can be achieved by using a very small proportion of transform coefficients. This makes Wavelet-based face recognition much more accurate than other approaches.
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Size: 21504 |
Author: mhm |
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Description: 这是一篇关于图象中眼睛和嘴巴的检测与定位的文章-This is an image in the eyes and mouth on the detection and location of the article
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Size: 4986880 |
Author: wangbo |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.
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Size: 324608 |
Author: fais |
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Description: Perfect matlab facetracker, detects eyes, mouth and face.
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Size: 9216 |
Author: stein |
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Description: 运用VC软件做的一个基于OPENCV的人脸识别系统，在检测人脸的基础上能对人眼和嘴巴进行识别。-Use the software to do a VC OPENCV based face recognition system, based on face detection can identify the eyes and mouth.
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Size: 2114560 |
Author: strangename |
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Description: Matlab平台下在人脸区域利用EyeMap和MoutMap算法检测眼睛-Matlab platform in the face region detection algorithm using EyeMap and MoutMap eyes
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Size: 1024 |
Author: jiangshui |
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Description: 使用C++进行人像检测，重点从嘴角、眼睛的方面进行检测-Using C++ Face Detection to detect focus from the mouth, eyes
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Size: 3414016 |
Author: fanglianmei |
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Description: 人脸的检测与定位的程序实例，有界面，多方法，可以定位嘴巴眼睛头发。-
Instance of face detection and location, interface, multi-method, you can locate the mouth eyes hair.
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Size: 5400576 |
Author: 陈旭远 |
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