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一种融合多传感器信息的移动图像识别方法

桂振文 吴侹 彭欣

桂振文, 吴侹, 彭欣. 一种融合多传感器信息的移动图像识别方法. 自动化学报, 2015, 41(8): 1394-1404. doi: 10.16383/j.aas.2015.c140177
引用本文: 桂振文, 吴侹, 彭欣. 一种融合多传感器信息的移动图像识别方法. 自动化学报, 2015, 41(8): 1394-1404. doi: 10.16383/j.aas.2015.c140177
GUI Zhen-Wen, WU Ting, PENG Xin. A Novel Recognition Approach for Mobile Image Fusing Inertial Sensors. ACTA AUTOMATICA SINICA, 2015, 41(8): 1394-1404. doi: 10.16383/j.aas.2015.c140177
Citation: GUI Zhen-Wen, WU Ting, PENG Xin. A Novel Recognition Approach for Mobile Image Fusing Inertial Sensors. ACTA AUTOMATICA SINICA, 2015, 41(8): 1394-1404. doi: 10.16383/j.aas.2015.c140177

一种融合多传感器信息的移动图像识别方法

doi: 10.16383/j.aas.2015.c140177
基金项目: 

国家高技术研究发展计划(863计划) (2013AA013802),国家自然科学基金(61370134), 国家重大科技专项(2012ZX03002004), 广东省协同创新与平台环境建设专项(2014B090901024)资助

详细信息
    作者简介:

    吴侹 学士,中国电子科技集团公司第七研究所高级工程师.主要研究方向为图像识别和卫星通信.E-mail:13631490916@139.com

A Novel Recognition Approach for Mobile Image Fusing Inertial Sensors

Funds: 

Supported by National High Technology Research and Development Program of China (863 Program) (2013AA013802), National Natural Science Foundation of China (61370134), National Science and Technology Major Project (2012ZX03002004), and Collaborative Innovation and Platform Environment Construction Major Project of Guangdong Province (2014B090901024)

  • 摘要: 多传感器数据融合作为一种特殊的数据处理手段在图像识别领域得到了较大的重视和发展, 本文提出了一种融合多传感器信息的移动图像识别方法. 首先通过在智能手机端提取带传感器信息的图像局部特征,增强局部特征的辨别能力; 其次改进了随机聚类森林的建立算法,减少了样本图像训练时间;最后使用快 速几何一致性校验对匹配结果进行检查, 保证算法的识别精度.实验结果表明,本文提出的方法能够快速 有效地识别移动图像,并具有较好的鲁棒性,同时与传统的Vocabulary tree 方法进行比较,本文方法的识别速度和精度较优,训练代价较低.
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出版历程
  • 收稿日期:  2014-03-24
  • 修回日期:  2014-08-18
  • 刊出日期:  2015-08-20

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