English

PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applications

Computer Vision and Pattern Recognition 2023-06-13 v1 Graphics

Abstract

We present an efficient and robust point cloud registration (PCR) workflow for part-wise rigid point cloud alignment using the Microsoft HoloLens 2. Point Cloud Registration (PCR) is an important problem in Augmented and Mixed Reality use cases, and we present a study for a special class of non-rigid transformations. Many commonly encountered objects are composed of rigid parts that move relative to one another about joints resulting in non-rigid deformation of the whole object such as robots with manipulators, and machines with hinges. The workflow presented allows us to register the point cloud with various configurations of the point cloud.

Keywords

Cite

@article{arxiv.2306.06717,
  title  = {PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applications},
  author = {Manorama Jha and Bhaskar Banerjee},
  journal= {arXiv preprint arXiv:2306.06717},
  year   = {2023}
}

Comments

Accepted for presentation at WiCV @ CVPR 2023