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  1. improvedimagedensestereomatchingalgorithm

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  2. 针对目前主流方法对图象中纹理单一区域匹配效果不佳胡问题,提出一种改进的立体象对稠密匹配算法-Mainstream view of the current image in the textured area on the effects of poor matching Hu is proposed as an improved stereo matching algorithm on the dense
  3. 所属分类:Project Design

    • 发布日期:2017-03-29
    • 文件大小:558504
    • 提供者:hanping
  1. QC@TD

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  2. 公司内部QC@TD文档 无密级 个人编写欢迎中肯意见-Internal QC @ TD documents without dense
  3. 所属分类:software engineering

    • 发布日期:2017-05-20
    • 文件大小:5964997
    • 提供者:cai
  1. DENSE

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  2. 基于压缩感知的论文,供大家学习 -Based on the compression perception of papers, for everybody to learnBased on the compression perception of papers, for everybody to learn
  3. 所属分类:Project Design

    • 发布日期:2017-04-17
    • 文件大小:201958
    • 提供者:yanhao
  1. The-research-that-encrypts-calculate

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  2. 基于混沌的数字图像加密算法的研究,包含各种算法-The research that encrypts calculate way according to the number picture of mentally dense.ppt
  3. 所属分类:software engineering

    • 发布日期:2017-05-03
    • 文件大小:1282580
    • 提供者:周煜
  1. H_264_SVC

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  2. 文中分析了目前主流的H.264 SVC 标准所采用的可分级视频编码技术, 根据视频分级编码特点选取关键信息进行分层加密,实现不同级别的视频加密。同时,所提方案采用了序列密 码进行加密,具有较高的安全性。-This paper analyzes the current mainstream standard adopted H.264 SVC scalable video coding technology, Select the encryption key information
  3. 所属分类:software engineering

    • 发布日期:2017-05-02
    • 文件大小:578437
    • 提供者:张伟
  1. Load-Balancing

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  2. WEB服务器集群系统中负载平衡的设计与实现 -With the increase of users and dense tasks in Internet and Intranet, the transacting capability of the single Web server is limited, which has already become the new bottleneck of network visiting. If the Web server clust
  3. 所属分类:Project Design

    • 发布日期:2017-04-28
    • 文件大小:51753
    • 提供者:song
  1. stereo

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  2. This is a Matlab code for Dense Stereo Coresponding. It is based on local method.
  3. 所属分类:Project Design

    • 发布日期:2017-04-27
    • 文件大小:23207
    • 提供者:wenchao
  1. Action-Detection

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  2. This paper advances prior work by proposing a joint learning framework to simultaneously identify the spatial and temporal extents of the action of interest in training videos. To get pixel-level localization results, our method uses dense traj
  3. 所属分类:Project Design

    • 发布日期:2017-05-18
    • 文件大小:4917252
    • 提供者:robin
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