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By combining the AdaBoost modular locality preserving projection(AMLPP) algorithm and the locally linear regression(LLR) algorithm,a novel pose-invariant algorithm is proposed to realize high-accuracy face recognition under different poses.In the training stage of this algorithm,the AMLPP is employed to select the crucial frontal blocks and construct effective strong classifier.According to the selected frontal blocks and the corresponding non-frontal blocks,LLR is then applied to learn the linear mappings which will be used to convert the non-frontal blocks to visual frontal blocks.During the testing of the learned linear mappings,when a non-frontal face image is inputted,the non-frontal blocks corresponding to the selected frontal blocks are extracted and converted to the visual frontal blocks.The generated virtual frontal blocks are finally fed into the strong classifier constructed by AMLPP to realize accurate and efficient face recognition.Our algorithm is experimentally compared with other pose-invariant face recognition algorithms based on the Bosphorus database.The results show a significant improvement with our proposed algorithm. 相似文献
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A new method for no-reference image quality assessment based on hybrid fuzzy-genetic technique is proposed. Noise variance and edge sharpness level of the restored image are two basic metrics for assessing the performance of the restoration algorithm, then a fuzzy if-then inference system is developed to combine the two metrics to get a final quality score, and the parameters of the fuzzy membership function are trained with genetic algorithms. Experiments results show that the image quality score correlates well with mean opinion score and the proposed approach is robust and effective. 相似文献
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The new features of H.264 video coding standard make the motion estimation module much more time consuming than before.Especially,the motion search is required for each of the 4 modes for inter prediction.In order to reduce the computational complexity,we analyze the statistics of results of motion estimation,such as the continuity of best modes of blocks in successive frames and the chance to give up a sub-partition mode(smaller than 16×16)after integer-pixel motion estimation,from which we suggest to make... 相似文献
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由于数字可视电话系统的性能需求和系统中回声的特点,传统的回声消除技术应用于数字可视电话系统时无法满足ITU-T G.168标准要求。该文利用NLMS算法的滑动窗自适应滤波器和简化非线性处理器设计,实现一种数字可视电话系统中的G.168自适应回声消除器,介绍其基本结构和各个功能模块的算法,并以ARM 920T为硬件平台实现该系统。仿真结果显示,简化的回声消除算法运算复杂度小、消除回声有效性高、稳定性强。利用ITU-T G.168标准定义的CSS信号对G.168回声消除器进行测试,测试结果均符合或优于标准要求。 相似文献
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文中利用小波变换的方法对矢量网络分析仪所测到进行检测,并对检测信号进行随机噪声滤除,检测到所关心的信号,经过小波滤皮理论分析和实验结果均表明,小波变换在滤波处理中是一种简单易行,有效的方法。 相似文献
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基于直方图熵和遗传算法的图像分割法 总被引:3,自引:0,他引:3
图像分割是计算机视觉研究中一个老而难解决的问题。本文提出了一种基于灰度图像的直方图的熵和遗传算法进行图分割的方法,以灰度图像的直方图熵作为评价标准,把图像分割问题定义为一个优化问题,利用遗传算法的寻优高效性,搜索到能使分割到最优的分割参数--图像分割阈值。 相似文献
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面向3G的移动流媒体解决方案初探 总被引:3,自引:0,他引:3
对移动流媒体的概念和主流的Real Networks移动流媒体解决方案进行了分析,并结合3G标准和国内主要运营商的业务流程,提出了移动流媒体的可行性方案。 相似文献
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基于遗传算法的二维熵法 总被引:5,自引:1,他引:5
图像分割方法中的二维熵法的计算时间较长.为了提高其计算效率,将遗传算法和二维熵法结合起来,同时考虑了孤立像素点的灰度信息和像素点的空间相关性,并对简单遗传算法的复制和交叉算子进行了改进,利用遗传算法高效快速的特点,克服了二维熵法的缺点.试验结果表明,本算法在保证分割质量的同时,提高了运算效率. 相似文献