PointFlowNet: Learning Representations for Rigid Motion Estimation from Point 
Clouds

Behl, Aseem; Paschalidou, Despoina; Donne, Simon; Geiger, Andreas

doi:10.1109/CVPR.2019.00815

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PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds

Behl, A., Paschalidou, D., Donne, S., & Geiger, A. (2019). PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) (pp. 7954-7963). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00815.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F466-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F467-3

Genre: Conference Paper

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Creators:
Behl, Aseem¹, Author
Paschalidou, Despoina¹, Author
Donne, Simon¹, Author
Geiger, Andreas¹, Author

Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692

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Free keywords: Forschungsgruppe Geiger

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Language(s): eng - English

Dates: Published Online: 2020-01-09Date issued: 2019

Publication Status: Issued

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Identifiers: BibTex Citekey: Behl2019CVPR
DOI: 10.1109/CVPR.2019.00815

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Place of Event: Long Beach, CA

Start-/End Date: 2019-06-15 - 2019-06-20

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Title: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Other : 2019 IEEE/CVP Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7954 - 7963 Identifier: ISBN: 978-1-7281-3293-8
ISBN: 978-1-7281-3294-5
ISSN: 2575-7075
ISSN: 1063-6919
DOI: 10.1109/CVPR41558.2019