Description: aceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-aceDetection running, First to file "opened face.bmp included in the photo, and can only proceed after face detection operation, needs to be emphasized is the human face detection, eye detection and location, human mouth of the detection and location, Face to outline four processing module must be in accordance with the chronological order, Besides, the various modules must also operate in accordance with the menu bar from top to bottom to the order. In addition, As the face detection is used when a priori knowledge, So the only right given to the Photo face.bmp to handle. Platform: |
Size: 2862383 |
Author:张素兰 |
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Description: 本文完成了对唇动身份识别技术几个基本问题的理论研究,并对整个系统加以实现.作为本文研究的实验基础,我们建立了唇动方式身份识别数据库(HITLUDB),
该库目前包含30个说话人每人20个汉语词的音视频语料.数据库的扩充与完善工作仍在不断的进行之中.在嘴唇检测方面,
我们对自适应色度过滤模型进行改进,提高了算法的鲁棒性,完成了对嘴唇的精确定位.结合DCT变换与K-L变换的各自特点,
我们提出了特征提取算法,使用较少维数的特征完成了对嘴唇区域主要信息的刻画.由于唇动信息同时包含了生理特征与行为特征,
我们使用静念动念混合建模的方式,完成了对说话人唇动个性特点的精确描述.在HMM训练时,我们提出了特征的归一化处理方法,提高了HMM在实际应用中的性能.
最后,我们分别对身份辨认系统与身份确认系统的基本理论进行了叙述,并完成了系统的实践工作.
关 键 词：身份识别 唇动 特征提取 隐马尔可夫模型 K-L变换 -paper completed the lip movements identification technology several basic issues of theoretical study, system as a whole be achieved. As this paper, the experimental basis, We have established a dynamic manner lip identification database (HITLUDB) The library currently contains 30 words each of 20 Chinese words, sound and video corpus. and the expansion of the database is still perfect keep going on. Detection of the lips, we adaptive color filter model improvements, improve the robustness of the algorithm, completed a pair of lips the precise positioning. DCT combined with the K-L transform their own characteristics, We have proposed a feature extraction algorithm, use less dimension of the lips completed the main message of regional characterization. As the lip movements of information, Platform: |
Size: 5222400 |
Author:QHLee |
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Description: aceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-aceDetection running, First to file "opened face.bmp included in the photo, and can only proceed after face detection operation, needs to be emphasized is the human face detection, eye detection and location, human mouth of the detection and location, Face to outline four processing module must be in accordance with the chronological order, Besides, the various modules must also operate in accordance with the menu bar from top to bottom to the order. In addition, As the face detection is used when a priori knowledge, So the only right given to the Photo face.bmp to handle. Platform: |
Size: 2862080 |
Author:张素兰 |
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Description: 本程序能实现人脸检测，在经过人脸区域检测、人眼的检测定位、人嘴的检测定位，最后勾画出人脸。-This procedure enables Face Detection, after facial region detection, the human eye detect the positioning of the detection of human mouth positioning, and finally lays out a human face. Platform: |
Size: 642048 |
Author:张金泉 |
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Description: 用VC实现的人脸定位,可以把一副图画中可能包含的人脸部分用圈划出来,并且可以表示眼睛和嘴-Realize with VC Face positioning, can be a picture may contain parts of human faces using circle zoned out, and can express the eyes and mouth Platform: |
Size: 472064 |
Author:李名 |
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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 Platform: |
Size: 985088 |
Author:ktj |
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Description: FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-FaceDetection project run-time, first of all documents to be adopted Platform: |
Size: 3414016 |
Author:hy |
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Description: 能够比较准确的识别出人脸，对与眼、鼻子、头发、嘴进行定位-Be able to more accurately identify the people face, with eyes, nose, hair, mouth position Platform: |
Size: 3617792 |
Author:内向 |
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Description: 本光盘共包括三个工程，分别是用于实现数字图像基本处理算法的DimageProcess工程，
用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。
关于程序的运行，
DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法，
需要强调一点，其只对256色格式的图片进行处理。
PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp，
而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。
FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-This CD-ROM includes a total of three projects, namely, for the realization of the basic digital image processing algorithms DimageProcess project
Used to achieve image fusion PixelFusion engineering and construction for face recognition FaceDetection.
With regard to program operation,
DImageProcess works just load Bmp file format can be achieved through the menu, a variety of processing algorithms,
Need to emphasize that its only 256-color format for image processing.
PixelFusion engineering program runs, users must load two pictures, one panchromatic image selection for a given image spot.bmp,
The multi-spectral images was given a picture tm.bmp. Then the user can select a variety of fusion algorithms to fuse.
FaceDetection project run-time, first through the file "Open to load image face.bmp, which can only proceed after face detection
Operation, needs to be emphasized is the human face region detection, eye detection and location, human mouth detection and position Platform: |
Size: 22050816 |
Author:马子领 |
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Description: 脸部特征定位是人脸分析技术的一个重要组成部分，其目标是在图象或图象序列中的指定区域内搜索人
脸特征(如眼、鼻、嘴、耳等)的位置-This facial feature location based photos of the face of technology is an important part of their goal is to image or image sequence in search of people within the designated area Platform: |
Size: 594944 |
Author:xulin |
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Description: 人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理模块源码,目前只能对给定的图片face.bmp进行处理。-Face region detection, eye detection and localization of human detection and localization of the mouth, face the outline of the four processing modules source code, currently only for a given image face.bmp for processing. Platform: |
Size: 2854912 |
Author: |
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Description: 人脸检测中，光线补偿；人脸区域检测，其中包括皮肤颜色建模，区域膨胀，腐蚀和去除非脸区域等。还有人眼和人嘴的检测定位及勾画人脸。-Face detection, the light compensation detected face region, including skin color modeling, regional expansion, corrosion, and to go unless the face region and so on. It was also eye and mouth detection and location of people and lays face. Platform: |
Size: 3402752 |
Author:guanhao |
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Description: 《Visual C++实践与提高—数字图像处理与工程应用篇》第13章人脸检测源码。FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-" Visual C++ practice and improve- digital image processing and engineering applications chapter," Chapter 13 face detection source. The time engineering FaceDetection run, we must first file " open ' picture face.bmp, face detection can only proceed after the operation, needs to be emphasized is the face region detection, the detection and location of the detection and location of the eyes, the mouth, face sketched four processing modules must be conducted on a first-come-first-served, and the operation of each module must be in accordance with the order of the menu bar from top to bottom to. addition, because a priori knowledge is used in face detection, currently only given picture face.bmp processing. Platform: |
Size: 4002816 |
Author:马蕾 |
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Description: 本程序和实现对一幅包含人脸的bmp图像进行光纤补偿，对人脸区域进行检测实现人眼和人嘴的检测与定位，最后勾绘出人脸的特征以实现人脸检测的目的。-This procedure and implementation of a compensate the fiber contains face of BMP image, the face region detection to realize human eyes and mouth detection and positioning, finally drew out the facial features to achieve the purpose of face detection.
Platform: |
Size: 3383296 |
Author:houying |
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Description: 1. 人脸检测的高正确率，误检，漏检很少，支持多脸（max=32）。 平面旋转高达 60 度，并带鼻，嘴定位，及眼镜判断等功能。 2. 支持双目(双摄像头)/多目的 3D 维度识别,增加了人脸的特征集,再次提高识别精度,并有效防止照片通过。 3. 人脸识别的高精度，向用户推荐的识别阀值不仅能适应光线环境的变化，具备满足实际应用的识别正确率。带 眼镜或头发挡住眉毛都行。（但黑粗边眼镜的识别率相对低些，即在较好的识别环境下，黑粗边眼镜仍是 OK 的，只要看得清眼球，就对识别率没有任何影响） 4. 在背光模式下（看上去黑黑的一大片），开启背光识别的开关后，识别速度会减低，把识别阀值调低一些，就 仍然能进行准确的识别。 5. 支持双目，对高清大图，开启二次精定位开关后，能准确地定位人眼中的瞳孔。准确的人眼定位，使 用户能在此基础上开发出多款有创意的延伸产品。(1. Face detection has high accuracy, false detection and few missed detection. It supports multiple faces (max = 32). Plane rotation up to 60 degrees, and with nose, mouth positioning, and glasses judgment and other functions. 2. Support binocular (dual camera) / multi-purpose 3D dimension recognition, increase the feature set of face, improve the recognition accuracy again, and effectively prevent photos from passing. 3. High accuracy of face recognition. The recognition threshold recommended to users can not only adapt to the changes of light environment, but also meet the recognition accuracy of practical application. Wear glasses or hair over your eyebrows. (but the recognition rate of black spectacles is relatively low, that is to say, in a better recognition environment, black spectacles are still OK, as long as you can see the eyeball clearly, there is no impact on the recognition rate.)) Platform: |
Size: 6934528 |
Author:张长宜 |
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Search - 人嘴定位