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Detailing The Use Of Matlab For Image Processing

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Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification(ITU-T Rec.H.264 | ISO/IEC 14496-10 AVC) H.264编码标准，主体部分是中英文对照(Draft ITU-T Recommendation and Final Draf t International Standard of Joint Video Specif ication (ITU-T Rec.H.264 | ISO/IEC 14496-10 AV C) H.264 coding standard, the main part of the bilingual)

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华为海思芯片Hi3559手册，官网没有，通过其它渠道得到，希望对大家有用(HUAWEI Hass chip Hi3559 manual, there is no official website, get through other channels, we hope to be useful)

Digital image face detection had been developing so much in this last decade. The searching for the best method is still walking until today. This face detection research is using color model based segmentation method combined with template matching. There are 4 main process in this research. First, motion detection is used to minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by using the blurring way and by filtering its wide. The last one is matching the area that last with template that has been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows that this method reach up to 70,5 face detection accuration procentage.

基于Bayesian压缩感知的融合算法.pdf(Image fusion algorithm based on bayesian compressive sensing)

A Memo on How to Use the Levenberg-Marquardt Algorithm for Refining Camera Calibration Parameters

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Matlab Optimization Toolbox important book