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aambuilding-1.0
- 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. AA
palmprint
- A PCA based Visual DCT Feature Extraction Method for Lip-Reading
lip
- 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 segmen
d
- Lip-Reading from Parametric Lip Contours for Audio-Visual Speech Recognition
HAMED+DANANDEH
- code for lip detection
LipLoca
- 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
HighgradeC-Cprogrammingguide
- 软件质量是被大多数程序员挂在嘴上而不是放在心上的东西！ 除了完全外行和真正的编程高手外，初读本书，你最先的感受将是惊慌：“哇！我以前捏造的C++/C程序怎么会有那么多的毛病？” 别难过，作者只不过比你早几年、多几次惊慌而已。 请花一两个小时认真阅读这本百页经书，你将会获益匪浅，这是前面N-1个读者的建议-Software quality is lip service by most programmers not mind things! In addition to comp
lip-reading-code
- this code read the lip motion and find the word which speak by person
facedetection
- 人脸作为图像与视频中最重要的视觉对象之一，是智能人机接口等许多应用的处理目标对象。近年来，人脸检测技术在模式识别、计算机视觉、人机交互等诸多领域引起了普遍重视。之所以人脸检测技术在当今计算机视觉等领域的研究中占有重要的地位并成为研究焦点，主要在于以下两个方面：一方面将人脸作为基本是绝对想来考虑，子等检测与定位人脸是实现人脸识别、人脸跟踪、表情识别、人联合成与人脸编码、唇读等技术的必要前提(Face is one of the most important visual objects in im
infocom论文
- LipPass: Lip Reading-based User Authentication on Smartphones Leveraging Acoustic Signals LipPass：利用声学信号在智能手机上进行基于唇读的用户认证