Point-wise saliency detection on 3D point clouds via covariance descriptors-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Point-wise saliency detection on 3D point clouds via covariance descriptors

Published:2017-06-26 Issue:10 Volume:34 Page:1325-1338
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Guo Yu,Wang Fei,Xin Jingmin

Funder

National Natural Science Foundation of China

Program of Introducing Talents of Discipline to University

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/article/10.1007/s00371-017-1416-3/fulltext.html

Reference48 articles.

1. Akman, O., Jonker, P.: Computing saliency map from spatial information in point cloud data. In: Proceedings of Advanced Concepts for Intelligent Vision Systems—International Conference, Acivs 2010, Sydney, December 13–16, 2010, pp. 290–299 (2010)

2. Castellani, U., Cristani, M., Fantoni, S., Murino, V.: Sparse points matching by combining 3D mesh saliency with statistical descriptors. Comput. Graph. Forum 27(2), 643–652 (2008)

3. Chen, X., Saparov, A., Pang, B., Funkhouser, T.: Schelling points on 3D surface meshes. ACM Trans. Graph. 31(4), 13–15 (2012)

4. Cheng, M., Zhang, G., Mitra, N.J., Huang, X., Hu, S.: Global contrast based salient region detection. IEEE Trans. Pattern Anal. Mach. Intell. 37(3), 409–416 (2015)

5. Cirujeda, P., Dicente Cid, Y., Mateo, X., Binefa, X.: A 3D scene registration method via covariance descriptors and an evolutionary stable strategy game theory solver. Int. J. Comput. Vis. 115(3), 306–329 (2015)

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning based computer vision under the prism of 3D point clouds: a systematic review;The Visual Computer;2024-01-29

2. Local entropy-based feature-preserving simplification and evaluation for large field point cloud;The Visual Computer;2023-12-29

3. Point Cloud Quality Assessment using 3D Saliency Maps;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

4. C2SPoint: A classification-to-saliency network for point cloud saliency detection;Computers & Graphics;2023-10

5. Deep Saliency Mapping for 3D Meshes and Applications;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-02-06

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3