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Description: 获取网上邻居【Neighbor】
lIP地址和计算机名之间的转换【\\Neighbor】
l映射网络驱动器【Neighbor】
l消息发送程序Net Send【Neighbor】
l获取局域网内其他计算机的信息【NeighborInfo】-access online neighbor Neighbor -- lIP address and computer name conversion between the [\\ Neighbor -- l mapping network drives Neighbor -- l messaging procedures Net Send Neighbor -- l LAN access to other computer information NeighborInfo
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Size: 82925 |
Author: andy |
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Description: 基于lua的图像处理代码An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType). Planned binding for Python.-lua-based image processing code An image processing applica tion based on a scripting language : now Roman (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and Free Type). Planned binding for Python.
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Size: 79716 |
Author: yuhongchun |
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Description: StopMojo: Stop motion animation suite - a cross-platform suite of applications comprised of modules designed to facilitate creation of stop-motion animations including image capture and lip sync.-StopMojo : Stop motion animation suite-a cross-platform suite of applications comprised of modules des igned to facilitate creation of stop-motion an imations including image capture and lip sync.
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Size: 307200 |
Author: brotherfor |
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Description: 基于lua的图像处理代码An image processing application based on a scripting language: now LUA (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and FreeType). Planned binding for Python.-lua-based image processing code An image processing applica tion based on a scripting language : now Roman (LIP subproject). Some native function are built-in, and some use other projects (FreeImage and Free Type). Planned binding for Python.
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Size: 79872 |
Author: yuhongchun |
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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,
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Size: 5222400 |
Author: QHLee |
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Description: 用Matlab写的投影法提取嘴唇
输入图像必须是规定大小的人脸-Written using Matlab projection extraction lips input image must be provided for the size of face
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Size: 1024 |
Author: 风之子 |
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Description: 这是一个口形特征点粗定位程序，首先对唇部图象进行边缘检测，然后利用几何特征进行定位。-This is a lip feature points coarse positioning procedures, first of all on the lip image edge detection, and then positioning the use of geometrical features.
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Size: 2048 |
Author: 李莉 |
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Description: AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc. -AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc.
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Size: 67584 |
Author: liyi |
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Description: 人脸检测+眼睛检测（模版匹配）+瞳孔检测+嘴唇检测（cameshift）-face detection+ eye detection( template match)+pupil detection+lip detection (camshift)
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Size: 48332800 |
Author: briend |
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Description: 在YCbCr通道上，对人的嘴唇的寻找，通过大量数据样本得到的嘴唇颜色区域，效果不错，这个程序只是在静态图片里寻找，对做嘴形识别的人有帮助-Channel in the YCbCr on the lips of people search through a large amount of data samples to be the color of the lip region, the effect is true that this procedure only to find a static picture of the so-shaped mouth to help people identify
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Size: 89088 |
Author: richard |
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Description: A PCA based Visual DCT Feature Extraction Method for Lip-Reading
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Size: 723968 |
Author: 孙也 |
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Description: Lip image analysis has attracted much interest in
recent years because some important speech information is
contained in the shape and movement of the lip. To extract
such information from the lip images, accurate and robust
lip region segmentation is of vital importance. However,
most of the current lip segmentation methods fail to provide
accurate results if the person has beards.
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Size: 93184 |
Author: vikas |
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Description: Visual C tip and trick
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Size: 7913472 |
Author: yari |
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Description: Lip-Reading from Parametric Lip Contours for Audio-Visual Speech Recognition
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Size: 71680 |
Author: asxz |
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Description: code for lip detection
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Size: 13312 |
Author: reza Banimahd |
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Description: 实现一种结合颜色空间、变换及变形模板的自动唇部定位及唇轮廓提取、跟踪方法首先在空间建立肤色模型进行人脸检测、定位, 并由人脸几何特征进行唇部粗定位然后结合唇色模型进行变换使肤、唇色差别明显化, 提出根据亮度信息对变换结果预处理后用法进行图像分割, 经唇色模型进一步验证后实现唇部精定位再使用变形模板来进行嘴唇轮廓特征提取, 为增强内轮廓定位的鲁棒性, 对经亮度预处理和唇色模型验证得到的口腔区域边缘图进行曲线拟合来实现内轮廓定位最后, 将唇读图像序列中上一帧的唇部定位结果拓展后作为当前帧的预测区域再进行处理来实现唇动跟踪。-To achieve a combination of color space, transform and deformable template automatic lip localization and lip contour extraction, tracking the establishment of the first color model in the space of face detection, location, geometric features of the face by the rough location and then combined with lip lip transformation so that the skin color model, lip color difference visible, presented the results according to the luminance information to transform the image after pretreatment use of segmentation, and further validated by the lip model to achieve precise positioning and then use the deformation of the lip template for lip contour extraction , to enhance the robustness of location within the outline, by the brightness of the pretreatment and the lip model validation by oral Quyu edge map to fit curve to achieve the final positioning within the contour, the lip-reading image sequence in the last frame of the lips After positioning results extend the forecast area as the current frame
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Size: 970752 |
Author: 郭事业 |
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Description: code to extract lip region
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Size: 2048 |
Author: vsk |
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Description: this code read the lip motion and find the word which speak by person
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Size: 43008 |
Author: sonu misal |
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Description: 嘴唇轮廓识别 对嘴唇口型进行扑捉后生成轮廓线 并以帧的动画形式-After generating the identification of the lips lip contour lip contour lines carried capture and animation frames
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Size: 19456 |
Author: 梁小展 |
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Description: character recognization using lip movement
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Size: 1690624 |
Author: tincy |
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