搜索point cloud共有 37 个结果
1
Federated semantic segmentation algorithm under large scale differential point cloud data
2024年第3期 : 706-712
doi:10.19734/j.issn.1001-3695.2023.07.0320
2
3D face point cloud model reconstruction based on dynamic selection of feature points
2024年第2期 : 629-634
doi:10.19734/j.issn.1001-3695.2023.06.0279
3
Multi-scale feature fusion and contrastive pooling for point cloud completion network
2024年第2期 : 635-640
doi:10.19734/j.issn.1001-3695.2023.06.0254
4
Multi-sensor fusion real-time target detection based on data characteristics
2023年第11期 : 3456-3461
doi:10.19734/j.issn.1001-3695.2023.02.0072
5
Single-view 3D point cloud reconstruction algorithm based on priori knowledge
2023年第10期 : 3168-3172
doi:10.19734/j.issn.1001-3695.2022.12.0833
6
Scrubbing path planning of bathing robot based on improved artificial potential field method
2023年第9期 : 2760-2764
doi:10.19734/j.issn.1001-3695.2023.02.0053
7
Extrinsic parameter calibration of LiDAR and camera based on edge correlation point cloud
2023年第8期 : 2537-2542
doi:10.19734/j.issn.1001-3695.2022.12.0793
8
Human activity recognition network for millimeter-wave radar based on spatio-temporal attention
2023年第8期 : 2549-2554,2560
doi:10.19734/j.issn.1001-3695.2022.11.0792
9
Trust region pseudo-labels strategy for semi-supervised 3D object detection
2023年第6期 : 1888-1893,1899
doi:10.19734/j.issn.1001-3695.2022.09.0487
10
Attention weighted feature aggregation PointNet network for part segmentation
2023年第5期 : 1571-1576,1582
doi:10.19734/j.issn.1001-3695.2022.08.0423
11
Research on multi-frame point cloud fusion algorithm and 3D object detection algorithm in dynamic environment
2023年第3期 : 909-913
doi:10.19734/j.issn.1001-3695.2022.05.0345
12
Full convolution neural network model for 6DoF attitude and size estimation
2023年第3期 : 938-942
doi:10.19734/j.issn.1001-3695.2022.06.0319
13
Local feature description algorithm of point cloud based on signature of regional centers
2023年第3期 : 949-953
doi:10.19734/j.issn.1001-3695.2022.06.0322
14
Overview of single-sensor and multi-sensor point cloud 3D target detection methods
2023年第1期 : 20-27
doi:10.19734/j.issn.1001-3695.2022.05.0251
15
PointPCA:feature extraction algorithm for 3D point cloud
2023年第1期 : 294-298
doi:10.19734/j.issn.1001-3695.2022.03.0214
16
Point cloud registration algorithm based on mixed-features sampling for overlapping domain
2022年第11期 : 3503-3508
doi:10.19734/j.issn.1001-3695.2022.03.0111
17
Research of deep learning-based classification methods for 3D point cloud
2022年第5期 : 1289-1296
doi:10.19734/j.issn.1001-3695.2021.10.0469
18
3D object shape completion under learning point cloud neighborhood information
2022年第5期 : 1586-1589
doi:10.19734/j.issn.1001-3695.2021.09.0383
19
Point cloud registration method based on normal vector voting
2022年第2期 : 637-640
doi:10.19734/j.issn.1001-3695.2021.06.0236
20
Point cloud registration algorithm based on quadric error
2022年第1期 : 270-274,279
doi:10.19734/j.issn.1001-3695.2021.04.0193
21
Point cloud with low feature recognition registration method based on neighborhood curvature
2022年第1期 : 285-290
doi:10.19734/j.issn.1001-3695.2021.05.0206
22
Multilevel divided skeleton extraction algorithm of complex point cloud
2021年第11期 : 3451-3455
doi:10.19734/j.issn.1001-3695.2020.12.0569
23
Multi-scale feature fusion network for point cloud normal estimation of mechanical parts
2021年第9期 : 2842-2847
doi:10.19734/j.issn.1001-3695.2020.10.0426
24
Research on registration of terrain laser scanning point cloud and image matching point cloud based on building footprint
2021年第8期 : 2515-2520
doi:10.19734/j.issn.1001-3695.2020.08.0393
25
Multi-frame point cloud fusion algorithm based on IMU and dynamic target detection
2021年第7期 : 2179-2182
doi:10.19734/j.issn.1001-3695.2020.07.0265
26
Point cloud registration method based on key point optimization after downsampling
2021年第3期 : 904-907
doi:10.19734/j.issn.1001-3695.2020.01.0021
27
Research of point cloud registration algorithm based on hypothesis test matching constraints
2021年第1期 : 305-310
doi:10.19734/j.issn.1001-3695.2019.07.0569
28
Improved algorithm for point cloud data simplification based on GPU parallel
2020年第9期 : 2730-2733
doi:10.19734/j.issn.1001-3695.2019.04.0111
29
Point cloud registration based on artificial bee colony algorithm and curvature information
2020年第4期 : 999-1003,1024
doi:10.19734/j.issn.1001-3695.2018.10.0732
30
Pedestrian detection based on LiDAR data
2020年第4期 : 1200-1203
doi:10.19734/j.issn.1001-3695.2018.10.0786
31
Airborne LiDAR point clouds classification algorithm for urban classification using neural network
2020年第4期 : 1256-1260
doi:10.19734/j.issn.1001-3695.2018.10.0783
32
Skeleton extraction of tree point cloud based on curvature normal operator
2020年第4期 : 1265-1270
doi:10.19734/j.issn.1001-3695.2018.10.0847
33
Point cloud registration algorithm based on multiple-feature matching
2020年第2期 : 588-592
doi:10.19734/j.issn.1001-3695.2018.06.0575
34
Efficient representation of static point cloud by using TSLVQ
2019年第7期 : 2205-2209
doi:10.19734/j.issn.1001-3695.2018.01.0114
35
Feature point extraction of scattered point cloud based on multiple criterions
2019年第5期 : 1585-1588
doi:10.19734/j.issn.1001-3695.2017.12.0832
36
Point cloud registration based on self-adaptive evolutionary optimization and color information
2019年第1期 : 303-307
doi:10.19734/j.issn.1001-3695.2017.08.0895
37
Point cloud registration based on entropy criterion genetic algorithm
2019年第1期 : 316-320
doi:10.19734/j.issn.1001-3695.2017.03.0642