English

Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core

Computer Vision and Pattern Recognition 2019-11-26 v1

Abstract

We present a novel method to track 3D models in color and depth data. To this end, we introduce approximations that accelerate the state-of-the-art in region-based tracking by an order of magnitude while retaining similar accuracy. Furthermore, we show how the method can be made more robust in the presence of depth data and consequently formulate a new joint contour and ICP tracking energy. We present better results than the state-of-the-art while being much faster then most other methods and achieving all of the above on a single CPU core.

Keywords

Cite

@article{arxiv.1911.10249,
  title  = {Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core},
  author = {Wadim Kehl and Federico Tombari and Slobodan Ilic and Nassir Navab},
  journal= {arXiv preprint arXiv:1911.10249},
  year   = {2019}
}

Comments

CVPR 2017

R2 v1 2026-06-23T12:24:57.572Z