Comments (3)
Hi @qsisi ,
Sorry for the late reply and thanks for your interest!
In SGHR, the relative transformation aligns point cloud
In LTS, the basic relative transformation is formulated as:
Thus,
Such a difference causes the differences of rotation and translation synchronization formulations. Specifically, for rotation synchronization, LTS uses
For translation sychronization, I have not derived LTS‘s formulation carefully, but I believe it can be derived with the basic least square method or its variants: https://en.wikipedia.org/wiki/Least_squares, where the translation solution of SGHR comes from.
Yours,
from sghr.
Thanks for your prompt reply, I did notice the "inverse" relations on rotations between LTS and SGHR, but I still could not derive the translation synchronization of your implementation. So may I ask did the code scripts come from other code bases?
Thank you so much for your help.
from sghr.
Hi @qsisi,
Sorry for the late reply!
This code snippet is original and is implemented based on Linear Least Square Algorithm and the following formulas:
SGHR/TransSync/Laplacian_TS.py
Lines 48 to 58 in 14b7253
yours,
from sghr.
Related Issues (20)
- About using my own dataset for registration HOT 7
- setting up knn_search HOT 1
- results visualization HOT 2
- How to generate YOHO_desc with my own data? HOT 1
- Why training takes several hours, how to speed it up HOT 3
- Question about the comparison methods HOT 2
- Is ther any way to test the trained SGHR model on my own data without the Minkowski Engine HOT 1
- Test.py bug HOT 2
- 计算统一坐标系时遇到问题 HOT 2
- correlation between point cloud resolution and the parameter voxel size in demo.py HOT 2
- On the parameters that need to be adjusted for testing with local datasets HOT 1
- About the RANSAC substitution in pairwise registration HOT 1
- 对3dmatch数据集test时结果波动大 HOT 3
- How should I train my dataset? HOT 3
- Why is the GPU occupancy rate during training very low, only 10% HOT 3
- What is the role of gt.info and test_3dmatch.pkl?Also bug report. HOT 2
- Some question about the paper and code HOT 2
- How to obtain key point text files for point clouds HOT 8
- How to test on my own dataset? HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from sghr.