开源点云非刚性配准(non-rigid registratioin)算法

non-rigid ICP paper: 基于面部的非刚性配准，缺点是面部特征点的作用比较大

@inproceedings{
          
   amberg2007optimal,
  title={
          
   Optimal step nonrigid icp algorithms for surface registration},
  author={
          
   Amberg, Brian and Romdhani, Sami and Vetter, Thomas},
  booktitle={
          
   Computer Vision and Pattern Recognition, 2007. CVPR07. IEEE Conference on},
  pages={
          
   1--8},
  year={
          
   2007},
  organization={
          
   IEEE}
}

github:

DeepGlobalRegistration github:

@inproceedings{
          
   choy2020deep,
  title={
          
   Deep Global Registration},
  author={
          
   Choy, Christopher and Dong, Wei and Koltun, Vladlen},
  booktitle={
          
   CVPR},
  year={
          
   2020}
}

@inproceedings{
          
   choy2019fully,
  title = {
          
   Fully Convolutional Geometric Features},
  author = {
          
   Choy, Christopher and Park, Jaesik and Koltun, Vladlen},
  booktitle = {
          
   ICCV},
  year = {
          
   2019}
}

@inproceedings{
          
   choy20194d,
  title={
          
   4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks},
  author={
          
   Choy, Christopher and Gwak, JunYoung and Savarese, Silvio},
  booktitle={
          
   CVPR},
  year={
          
   2019}
}

FMR(Feature-metric registration) github:

@InProceedings{
          
   Huang_2020_CVPR,
    author = {
          
   Huang, Xiaoshui and Mei, Guofeng and Zhang, Jian},
    title = {
          
   Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences},
    booktitle = {
          
   The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {
          
   June},
    year = {
          
   2020}
}

FGR(Fast global registration) github: 其中包括 , ,

@inproceedings{
          
   huang2016coarse,
  title={
          
   A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds},
  author={
          
   Huang, Xiaoshui and Zhang, Jian and Wu, Qiang and Fan, Lixin and Yuan, Chun},
  booktitle={
          
   2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
  pages={
          
   1--6},
  year={
          
   2016},
  organization={
          
   IEEE}
}

@inproceedings{
          
   huang2019fast,
  title={
          
   Fast registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement},
  author={
          
   Huang, Xiaoshui and Fan, Lixin and Wu, Qiang and Zhang, Jian and Yuan, Chun},
  booktitle={
          
   2019 IEEE International Conference on Multimedia and Expo (ICME)},
  pages={
          
   1552--1557},
  year={
          
   2019},
  organization={
          
   IEEE}
}