A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration

Chanki Yu; Da Ju

doi:10.3390/s18020544

A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration

Sensors ◽

10.3390/s18020544 ◽

2018 ◽

Vol 18 (2) ◽

pp. 544 ◽

Cited By ~ 8

Author(s):

Chanki Yu ◽

Da Ju

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Point Cloud Registration

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Interpretable and Effective Learning for 3D Point Cloud Registration, Classification and Segmentation

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) ◽

10.1109/vcip49819.2020.9301876 ◽

2020 ◽

Author(s):

C.-C. Jay Kuo

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Point Cloud Registration ◽

Effective Learning

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A 3D Point Cloud Registration Algorithm based on Feature Points

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy ◽

10.2991/icismme-15.2015.168 ◽

2015 ◽

Author(s):

Yi Ren ◽

Fucai Zhou

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Feature Points ◽

Point Cloud Registration ◽

Registration Algorithm

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Research on 3D point-cloud registration technology based on Kinect V2 sensor

2018 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2018.8407323 ◽

2018 ◽

Cited By ~ 3

Author(s):

Hong He ◽

Hailing Wang ◽

Lei Sun

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Point Cloud Registration ◽

Kinect V2

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Local feature extraction network with high correspondences for 3d point cloud registration

Applied Intelligence ◽

10.1007/s10489-021-03055-1 ◽

2022 ◽

Author(s):

Dashuang Li ◽

Kai He ◽

Lei Wang ◽

Dazhuang Zhang

Keyword(s):

Feature Extraction ◽

Point Cloud ◽

Local Feature ◽

3D Point Cloud ◽

Point Cloud Registration ◽

Local Feature Extraction

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FPFH-based graph matching for 3D point cloud registration

Tenth International Conference on Machine Vision (ICMV 2017) ◽

10.1117/12.2309462 ◽

2018 ◽

Author(s):

Jiapeng Zhao ◽

Chen Li ◽

Lihua Tian ◽

Jihua Zhu

Keyword(s):

Point Cloud ◽

Graph Matching ◽

3D Point Cloud ◽

Point Cloud Registration

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Using multicore processors to parallelize 3D point cloud registration with the Coarse Binary Cubes method

2013 IEEE International Conference on Mechatronics (ICM) ◽

10.1109/icmech.2013.6518558 ◽

2013 ◽

Cited By ~ 2

Author(s):

J. L. Martinez ◽

A. J. Reina ◽

J. Morales ◽

A. Mandow ◽

A. J. Garcia-Cerezo

Keyword(s):

Point Cloud ◽

Multicore Processors ◽

3D Point Cloud ◽

Point Cloud Registration

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3D Point Cloud Registration for Localization Using a Deep Neural Network Auto-Encoder

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2017.265 ◽

2017 ◽

Cited By ~ 45

Author(s):

Gil Elbaz ◽

Tamar Avraham ◽

Anath Fischer

Keyword(s):

Neural Network ◽

Point Cloud ◽

Deep Neural Network ◽

3D Point Cloud ◽

Point Cloud Registration

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Improved Iterative Closest Point(ICP) 3D point cloud registration algorithm based on point cloud filtering and adaptive fireworks for coarse registration

International Journal of Remote Sensing ◽

10.1080/01431161.2019.1701211 ◽

2019 ◽

Vol 41 (8) ◽

pp. 3197-3220 ◽

Cited By ~ 5

Author(s):

Xiaojing Shi ◽

Tao Liu ◽

Xie Han

Keyword(s):

Point Cloud ◽

Iterative Closest Point ◽

3D Point Cloud ◽

Point Cloud Registration ◽

Registration Algorithm ◽

Coarse Registration

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An Acceleration Algorithm of 3D Point Cloud Registration Based on Iterative Closet Point

2020 Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) ◽

10.1109/ipec49694.2020.9114965 ◽

2020 ◽

Author(s):

Tianyu Ren ◽

Ruicheng Wu

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Point Cloud Registration

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A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2021.3132926 ◽

2021 ◽

pp. 1-1

Author(s):

Zhiyuan Zhang ◽

Jiadai Sun ◽

Yuchao Dai ◽

Dingfu Zhou ◽

Xibin Song ◽

...

Keyword(s):

Point Cloud ◽

3D Point Cloud ◽

Point Cloud Registration

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