EnyaHermite / fastDesp-corrProp
Licence: other
Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
Stars: ✭ 16
Projects that are alternatives of or similar to fastDesp-corrProp
Point2Mesh
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)
Stars: ✭ 61 (+281.25%)
Mutual labels: point-cloud
mix3d
Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)
Stars: ✭ 183 (+1043.75%)
Mutual labels: point-cloud
DeepI2P
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Stars: ✭ 130 (+712.5%)
Mutual labels: point-cloud
fastremap
Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
Stars: ✭ 29 (+81.25%)
Mutual labels: point-cloud
WS3D
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
Stars: ✭ 104 (+550%)
Mutual labels: point-cloud
realsense explorer bot
Autonomous ground exploration mobile robot which has 3-DOF manipulator with Intel Realsense D435i mounted on a Tracked skid-steer drive mobile robot. The robot is capable of mapping spaces, exploration through RRT, SLAM and 3D pose estimation of objects around it. This is an custom robot with self built URDF model.The Robot uses ROS's navigation…
Stars: ✭ 61 (+281.25%)
Mutual labels: point-cloud
CVPR-2020-point-cloud-analysis
CVPR 2020 papers focusing on point cloud analysis
Stars: ✭ 48 (+200%)
Mutual labels: point-cloud
lcd
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
Stars: ✭ 93 (+481.25%)
Mutual labels: descriptors
pcl-edge-detection
Edge-detection application with PointCloud Library
Stars: ✭ 32 (+100%)
Mutual labels: point-cloud
Point-Cloud-Triangulation
C++ code for triangulating Point Cloud data and displaying it
Stars: ✭ 29 (+81.25%)
Mutual labels: point-cloud
bidd-molmap
MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool
Stars: ✭ 102 (+537.5%)
Mutual labels: descriptors
ECCV-2020-point-cloud-analysis
ECCV 2020 papers focusing on point cloud analysis
Stars: ✭ 22 (+37.5%)
Mutual labels: point-cloud
point-cloud-segmentation
TF2 implementation of PointNet for segmenting point clouds
Stars: ✭ 33 (+106.25%)
Mutual labels: point-cloud
Python-for-Remote-Sensing
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Stars: ✭ 20 (+25%)
Mutual labels: point-cloud
roofn3d
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds
Stars: ✭ 35 (+118.75%)
Mutual labels: point-cloud
YOHO
[ACM MM 2022] You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Stars: ✭ 76 (+375%)
Mutual labels: point-cloud
FLAT
[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory
Stars: ✭ 52 (+225%)
Mutual labels: point-cloud
Open3D-PointNet2-Semantic3D
Semantic3D segmentation with Open3D and PointNet++
Stars: ✭ 422 (+2537.5%)
Mutual labels: point-cloud
The code is released for academic use only. We use Matlab2015b to implement our algorithm. If you use lower version than Matlab2015b, please make sure the functions such as pcread, pcdownsample are still supported. If there is something wrong in your use of the ransac.mex64 file, please re-mex the ransac.cpp on your machine to make it compatible.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].