Improving RGB Descriptors Using Depth Cues

被引:0
|
作者
Stefanczyk, Maciej [1 ]
机构
[1] Warsaw Univ Technol, Inst Control & Computat Engn, Nowowiejska 15-19, PL-00665 Warsaw, Poland
来源
COMPUTER VISION AND GRAPHICS ( ICCVG 2018) | 2018年 / 11114卷
关键词
RGB-D; Descriptors; Matching; Data fusion; HISTOGRAMS;
D O I
10.1007/978-3-030-00692-1_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Geometrical distortions are tackled in different way in multiple keypoint 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.
引用
收藏
页码:251 / 262
页数:12
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