3DTDesc: learning local features using 2D and 3D cues | |
Xing, Xiaoxia1,2![]() ![]() ![]() ![]() ![]() | |
发表期刊 | MACHINE VISION AND APPLICATIONS
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ISSN | 0932-8092 |
2021-05-01 | |
卷号 | 32期号:3页码:15 |
摘要 | Pairwise frame registration with sparse geometric local features on real-world depth images is not particularly robust due to the low resolution and incomplete nature of the 3D scan data. Moreover, there might be many regions with similar geometric information. In this paper, we present 3DTDesc, a data-driven descriptor which closely combines both 2D texture and 3D geometric information for frame registration. The proposed descriptor is learned directly from color point clouds, which is time-efficient and provides robust and accurate geometric feature matching in a variety of settings. The texture information and the geometric information closely interact in the fusing network, which are complements of each other in situations of textureless regions or regions with similar geometric information and different texture information. We also propose a multi-scale 3DTDesc to further improve the performance of the feature matching. The effectiveness and efficiency of our proposed 3DTDesc are demonstrated by extensive experimental results on challenging RGB-D datasets and various ablation studies. |
关键词 | Geometric feature Texture feature Fusion method Registration |
DOI | 10.1007/s00138-021-01176-8 |
收录类别 | SCI |
所属项目编号 | #U1913201 |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[U1913201] |
项目资助者 | National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000625119800001 |
出版者 | SPRINGER |
七大方向——子方向分类 | 三维视觉 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/43312 |
专题 | 综合信息系统研究中心_视知觉融合及其应用 |
通讯作者 | Xing, Xiaoxia |
作者单位 | 1.Univ Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xing, Xiaoxia,Cai, Yinghao,Lu, Tao,et al. 3DTDesc: learning local features using 2D and 3D cues[J]. MACHINE VISION AND APPLICATIONS,2021,32(3):15. |
APA | Xing, Xiaoxia,Cai, Yinghao,Lu, Tao,Yang, Yiping,&Wen, Dayong.(2021).3DTDesc: learning local features using 2D and 3D cues.MACHINE VISION AND APPLICATIONS,32(3),15. |
MLA | Xing, Xiaoxia,et al."3DTDesc: learning local features using 2D and 3D cues".MACHINE VISION AND APPLICATIONS 32.3(2021):15. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
3DTDesc_ learning lo(6292KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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