Corpus ID: 209500788

W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

@article{Xu2019WPoseNetDC,
  title={W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression},
  author={Zelin Xu and Ke Chen and Kui Jia},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.11888}
}
  • Zelin Xu, Ke Chen, K. Jia
  • Published 26 December 2019
  • Computer Science
  • ArXiv
Solving 6D pose estimation is non-trivial to cope with intrinsic appearance and shape variation and severe inter-object occlusion, and is made more challenging in light of extrinsic large illumination changes and low quality of the acquired data under an uncontrolled environment. This paper introduces a novel pose estimation algorithm W-PoseNet, which densely regresses from input data to 6D pose and also 3D coordinates in model space. In other words, local features learned for pose regression… Expand
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