【24h】

Improving RGB Descriptors Using Depth Cues

机译:使用深度提示改进RGB描述符

获取原文

摘要

Geometrical distortions are tackled in different way in multiple key point detection and feature extraction algorithms. However, those are implemented as an integral part of the solution, making it impossible to use the same distortion removal method in other solutions. To the best of authors knowledge, there are no universal methods of distortion removal, that can be used as an intermediate step, between keypoint detection and feature extraction. Creating that kind of algorithm, instead of development of yet another 'robust descriptor', will enable seamless integration in existing applications, and, possibly, will increase object recognition success rate, independent of the selected keypoint detector/descriptor pair.
机译:在多个关键点检测和特征提取算法中以不同方式解决几何扭曲。但是,那些被实施为解决方案的组成部分,使得不可能在其他解决方案中使用相同的失真去除方法。据作者所知,没有普遍的失真方法,可以用作键盘检测和特征提取之间的中间步骤。创建这种算法,而不是另一个'鲁棒描述符的开发,将在现有应用程序中实现无缝集成,并且可能会增加对象识别成功率,而独立于所选择的keypoint检测器/描述符对。

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