• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Machine Vision and Applications >Descriptor evaluation and feature regression for multimodal image analysis
【24h】

Descriptor evaluation and feature regression for multimodal image analysis

机译：多模态图像分析的描述符评估和特征回归

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, we present feature descriptor evaluation and feature regression for multimodal image analysis. First, we compare the performances of several popular interest point detectors and feature descriptors from multimodal images with focus on visual and infrared images. The performances of detectors are evaluated mainly by the score of repeatability and accuracy and the descriptors are assessed by using the rate of precision and recall. Secondly, we analyze the relationship between the corresponding descriptors computed from multimodal images. The descriptors are regressed by means of linear regression as well as Gaussian process. Then the features on infrared images are predicted by mapping the descriptors from visual images to the infrared modality through the regression results. Predictions are assessed in two ways: the statistics of absolute error between true values and actual values, and the precision score of matching the predicted descriptors to the original infrared descriptors. We believe that this evaluating information will be useful when selecting an appropriate detector and descriptor for multimodal image analysis. Also the experimental results show that regression methods achieve a well-assessed relationship between corresponding descriptors from multiple modalities.
机译：在本文中，我们提出了用于多峰图像分析的特征描述符评估和特征回归。首先，我们比较几种流行的兴趣点检测器和多模式图像的特征描述符的性能，重点放在视觉和红外图像上。检测器的性能主要通过可重复性和准确性的分数来评估，而描述符则通过精度和召回率来评估。其次，我们分析了从多峰图像计算出的相应描述符之间的关系。描述符通过线性回归和高斯过程进行回归。然后通过通过回归结果将视觉图像中的描述符映射到红外模态来预测红外图像上的特征。预测通过两种方式进行评估：真实值和实际值之间的绝对误差的统计信息，以及将预测的描述符与原始红外描述符匹配的精度得分。我们相信，当为多峰图像分析选择合适的检测器和描述符时，该评估信息将非常有用。实验结果还表明，回归方法从多种模态中获得了对应描述符之间的良好评估关系。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号