Corpus ID: 233219495

Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

@inproceedings{Cheng2021BacktracingRP,
  title={Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds},
  author={Bowen Cheng and Lu Sheng and Shaoshuai Shi and Ming Yang and Dong Xu},
  booktitle={CVPR},
  year={2021}
}
  • Bowen Cheng, Lu Sheng, +2 authors Dong Xu
  • Published in CVPR 2021
  • Computer Science
3D object detection in point clouds is a challenging vision task that benefits various applications for understanding the 3D visual world. Lots of recent research focuses on how to exploit end-to-end trainable Hough voting for generating object proposals. However, the current voting strategy can only receive partial votes from the surfaces of potential objects together with severe outlier votes from the cluttered backgrounds, which hampers full utilization of the information from the input… Expand

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