cvsba is an OpenCV wrapper for the well-known Sparse Bundle Adjustment library (sba) by M. Lourakis. The main features are:
- Based on sba-1.6, one of the most popular and robust bundle adjustment implementation, which is extensively used and tested by the community
- sba installation is not needed since it is included in cvsba
- New CMake structure which makes the library compilation, installation and linkage easier
- Similar interface than Bundle Adjustment implementation on cv::LevMarqSparse::bundleAdjust()
- Include examples to test the library on synthetically generated data
- GPL licence

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow cvsba

cvsba Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
2
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 4 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 3 / 5

User Reviews

  • It is nice being able to apply sparse bundle adjustment directly over OpenCV data. Very useful library.
  • Great Library, it does what it should!
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Programming Language

C++

Related Categories

C++ 3D Modeling Software, C++ Mathematics Software, C++ Research Software

Registered

2013-10-21