Social capital has played an increasingly important role in regional development.China is a country with high stocks of social capital.Using several different indicators of social capital,this study tries to research ...Social capital has played an increasingly important role in regional development.China is a country with high stocks of social capital.Using several different indicators of social capital,this study tries to research the regional disparities in social capital and the influence of social capital on economic growth of China in 1978-2004.Measuring social capital with indicators of associations,charities and blood donation rates,this study finds significant regional disparities in social capital at provincial level in China.Those indicators for social capital are highly correlated with regional economic performance.Statistical analysis shows that social capital has a significant and positive effect on a long-term provincial economic growth.This relationship exists after controlling policy,macro location factors,and per capita GDP in the initial year.The empirical findings indicate that institutions,culture and social relations are critical for regional development in China.Therefore,the creation and support of social capital should be paid more attention to when making regional policy.展开更多
目的由于行人图像分辨率差异、光照差异、行人姿态差异以及摄像机视角和成像质量差异等原因,导致同一行人在不同监控视频中的外观区别很大,给行人再识别带来了巨大挑战。为提高行人再识别的准确率,针对以上问题,提出一种基于多特征融合...目的由于行人图像分辨率差异、光照差异、行人姿态差异以及摄像机视角和成像质量差异等原因,导致同一行人在不同监控视频中的外观区别很大,给行人再识别带来了巨大挑战。为提高行人再识别的准确率,针对以上问题,提出一种基于多特征融合与交替方向乘子法的行人再识别算法。方法首先利用图像增强算法对所有行人图像进行处理,减少因光照变化产生的影响,然后把处理后的图像进行非均匀分割,同时使用特定区域均值法提取行人图像的HSV和LAB颜色特征以及SILTP(scale invariant local ternary pattern)纹理特征和HOG(histogram of oriented gradient)特征,融合多种特征得到行人图像对的整体与局部相似度度量函数并结合产生相似度函数,最后使用交替方向乘子优化算法更新出最优的测度矩阵实现行人再识别。结果在VIPeR、CUHK01、CUHK03和GRID这4个数据集上进行实验,其中VIPeR、CUHK01和GRID 3个数据集Rank1(排名第1的搜索结果即为待查询人的比率)分别达到51.5%、48.7%和21.4%,CUHK03手动裁剪和检测器检测数据集Rank1分别达到62.40%和55.05%,识别率有了显著提高,具有实际应用价值。结论提出的多特征融合与交替方向乘子优化算法,能够很好地描述行人特征,迭代更新出来的测度矩阵能够很好地表达行人之间的距离信息,较大幅度地提高了识别率。该方法适用于大多数应用场景下的行人再识别。尤其是针对复杂场景下静态图像行人再识别问题,在存在局部遮挡、光照差异和姿态差异的情况下也能保持较高的识别正确率。展开更多
This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effect...This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effectively preserve the edge and detail of the image. And compared with classical methods, bilateral filtering method has a better performance in denosing for the reason that the weight includes the geometric closeness factor and the intensity similarity factor. We combine the geometric closeness factor with the weight of non-local means, and construct a new weight. Experimental results show that the modified algorithm can achieve better performance. And it can protect the image detail and structure information better.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.40871065,40830747)
文摘Social capital has played an increasingly important role in regional development.China is a country with high stocks of social capital.Using several different indicators of social capital,this study tries to research the regional disparities in social capital and the influence of social capital on economic growth of China in 1978-2004.Measuring social capital with indicators of associations,charities and blood donation rates,this study finds significant regional disparities in social capital at provincial level in China.Those indicators for social capital are highly correlated with regional economic performance.Statistical analysis shows that social capital has a significant and positive effect on a long-term provincial economic growth.This relationship exists after controlling policy,macro location factors,and per capita GDP in the initial year.The empirical findings indicate that institutions,culture and social relations are critical for regional development in China.Therefore,the creation and support of social capital should be paid more attention to when making regional policy.
文摘目的由于行人图像分辨率差异、光照差异、行人姿态差异以及摄像机视角和成像质量差异等原因,导致同一行人在不同监控视频中的外观区别很大,给行人再识别带来了巨大挑战。为提高行人再识别的准确率,针对以上问题,提出一种基于多特征融合与交替方向乘子法的行人再识别算法。方法首先利用图像增强算法对所有行人图像进行处理,减少因光照变化产生的影响,然后把处理后的图像进行非均匀分割,同时使用特定区域均值法提取行人图像的HSV和LAB颜色特征以及SILTP(scale invariant local ternary pattern)纹理特征和HOG(histogram of oriented gradient)特征,融合多种特征得到行人图像对的整体与局部相似度度量函数并结合产生相似度函数,最后使用交替方向乘子优化算法更新出最优的测度矩阵实现行人再识别。结果在VIPeR、CUHK01、CUHK03和GRID这4个数据集上进行实验,其中VIPeR、CUHK01和GRID 3个数据集Rank1(排名第1的搜索结果即为待查询人的比率)分别达到51.5%、48.7%和21.4%,CUHK03手动裁剪和检测器检测数据集Rank1分别达到62.40%和55.05%,识别率有了显著提高,具有实际应用价值。结论提出的多特征融合与交替方向乘子优化算法,能够很好地描述行人特征,迭代更新出来的测度矩阵能够很好地表达行人之间的距离信息,较大幅度地提高了识别率。该方法适用于大多数应用场景下的行人再识别。尤其是针对复杂场景下静态图像行人再识别问题,在存在局部遮挡、光照差异和姿态差异的情况下也能保持较高的识别正确率。
基金supported by the Student’s Platform for Innovation and Entrepreneurship Training Program(No.201510060022)
文摘This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effectively preserve the edge and detail of the image. And compared with classical methods, bilateral filtering method has a better performance in denosing for the reason that the weight includes the geometric closeness factor and the intensity similarity factor. We combine the geometric closeness factor with the weight of non-local means, and construct a new weight. Experimental results show that the modified algorithm can achieve better performance. And it can protect the image detail and structure information better.
