gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors

Authors:

Victor Fragoso (victor.fragoso@microsoft.com)

Joseph DeGol (joseph.degol@microsoft.com)

Gang Hua (ganghua@gmail.com)

Citation

If you use this code for your research, please cite the following paper:

@inproceedings{Fragoso_2020_CVPR,
author = {Fragoso, Victor and DeGol, Joseph and Hua, Gang},
title = {gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors},
booktitle = {Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

PDF

Compilation

Pre-requisites

• CMake [v3.1 or greater] (https://cmake.org/)
• Eigen3 (http://eigen.tuxfamily.org/)
• Glog (https://github.com/google/glog)
• Gflags (https://gflags.github.io/gflags/)

Steps

1. Install CMake.
2. Install Eigen3 - this is a C++ header library.
3. Install Gflags.
4. Install Glog.
5. Run cmake to generate building scripts or solutions.
6. Invoke the cmake-generated building scripts (e.g., Makefiles or VS solutions).

Optional components

1. UnitTest: The project can build unit-tests. To do so, enable the CMake flag BUILD_TESTING.
2. Python bindings: The project can build a python module. To do so, enable the CMake flag BUILD_PYTHON_BINDINGS.

NOTE: When building the optional components, the cmake script will take care of downloading and compiling the dependencies.

License

Read more here

Contributing

Read more here

Microsoft Code of Conduct

Read more here

Trademarks Note

Trademarks This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.