| 面向户外增强现实的地理实体目标检测 |
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| 引用本文： | 乔延军,饶锦蒙,王骏星,杜清运,任福. 面向户外增强现实的地理实体目标检测[J]. 地理信息世界, 2017, 24(5) |
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| 作者姓名： | 乔延军 饶锦蒙 王骏星 杜清运 任福 |
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| 作者单位： | 武汉大学 资源与环境科学学院,湖北 武汉,430079 |
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| 基金项目： | 国家自然科学基金项目，国家重点研发计划资助项目 |
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| 摘 要： | 本文研究了多种计算机视觉领域中用于图像分类和目标检测的卷积神经网络模型,在一种目标检测模型的基础上进行了修改,并结合了残差神经网络结构,旨在解决户外增强现实中地理实体目标检测的问题。我们根据这一模型开发了一款户外增强现实原型系统,通过将训练好的模型作为目标检测引擎,达到了较好的近实时性和准确性。
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| 关 键 词： | 目标检测 增强现实 卷积神经网络 计算机视觉 |
Geographic Object Detection for Outdoor Augmented Reality |
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| QIAO Yanjun,RAO Jinmeng,WANG Junxing,DU Qingyun,REN Fu. Geographic Object Detection for Outdoor Augmented Reality[J]. Geomatics World, 2017, 24(5) |
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| Authors: | QIAO Yanjun RAO Jinmeng WANG Junxing DU Qingyun REN Fu |
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| Abstract: | This paper studies the convolutional neural network model for image classification and object detection in the field of computer vision, and modifies an object detection model which combines ResNet structures to solve the problem of geographic object detection in outdoor augmented reality. An outdoor augmented reality system is developed with the use of the proposed model trained as an object detection engine, which achieves the near-real-time performance and high accuracy. |
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| Keywords: | object detection augmented reality convolutional neural network computer vision |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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