Description: Head Rotation Estimation Algorithm for Hand-Free Computer Interaction by Rafał Kozik-In the article robust method of hands-free interaction with computer is proposed and tested. There are showed the results of algorithms based on optical flow and rapid face detection. Platform: |
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Author:Ng Jack |
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Description: 由ＵIUC的Yi Ma开发的关于多视觉几何理论的开发包。其中涉及到特征点提取，光流，分层重建理论。一步一步教你如何构建一个重建的系统-developed by Yi Ma from UIUC Which involves the feature point extraction, optical flow, layered reconstruction of the theory. Step by step teach you how to build a reconstruction system Platform: |
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Author:alenw |
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Description: 研究优化人脸特征提取问题，针对长期以来在不贴标记点的情况下用传统的光流、Snake、可变模板等方法对纹理特征变化大的特征点不能有效跟踪，并且解决单独采用Gabor 小波系统开销大等问题，为了在人脸图像中提取准确信息，提出了人脸特征点的跟踪方法，分组采用改进的光流法和弹性图匹配的方法进行特征点跟踪。对眼睛、眉毛、上下眼皮等14 个表
情变化不大的特征点使用光流法进行跟踪，最后对变化大的嘴部8 个特征点运用Gabor 小波的弹性图匹配方法进行仿真。-Gabor wavelet research to optimize facial feature extraction problem for a long time in the case of stickers marked point changes of texture features with traditional optical flow, Snake, variable template feature points can not effectively track and solve alone overhead and large, in order to extract the accurate information in a face image, the facial feature point tracking method, grouping, improved optical flow method and elastic graph matching feature point tracking. Little change in the feature point of eyes, eyebrows, and eyelids 14 expression using the optical flow method for tracking simulation using Gabor wavelet elastic graph matching method, and finally on the changes of eight characteristic points of the mouth portion. Platform: |
Size: 444416 |
Author:yaomeng |
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Description: 光流检测人体运动--基于区域的图像运动描述（平均误差最小化的实现）--源于特征提取与图像处理-Optical flow to detect human motion feature extraction and image processing- derived from the description of the motion of the image based on the region (average error is minimized to achieve)- Platform: |
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Author:addison |
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Description: 图像的光流法计算的matlab程序,实现了图像的加水印，去噪，加噪声等功能，是学习PCA特征提取的很好的学习资料。- Image optical flow calculation matlab program, Realize image watermarking, de-noising, plus noise and other functions, Is a good learning materials to learn PCA feature extraction. Platform: |
Size: 7168 |
Author:fuitouniugang |
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Search - optical flow feature extraction