/TEAR-release

Primary LanguageC++

TEAR-release

Implementation of the paper:

[Scalable 3D Registration via Truncated Entry-wise Absolute Residuals] (CVPR 2024).

To apply this algorithm to your data, you may need to adjust the noise_bound and BRANCH_ACCURACY. For example, smaller BRANCH_ACCURACY leads to higher accuracy but requires more time cost.

Citation

@InProceedings{Huang_2024_CVPR,
    author       = {Huang, Tianyu and Peng, Liangzu and Vidal, Ren\'e and Liu, Yun-Hui},
    title        = {Scalable 3D Registration via Truncated Entry-wise Absolute Residuals},
    booktitle    = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year         = {2024}
}