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Chapter

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Title

Geometry-Aware Keypoint Network: Accurate Prediction of Point Features in Challenging Scenario

Authors

[ 1 ] Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ 2 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies
[2.3] Information and communication technology

Year of publication

2022

Chapter type

chapter in monograph / paper

Publication language

english

Pages (from - to)

191 - 200

DOI

10.15439/2022F145

URL

http://dx.doi.org/10.15439/2022F145

Book

Proceedings of the 17th Conference on Computer Science and Intelligence Systems

Presented on

17th Conference on Computer Science and Intelligence Systems FedCSIS 2022, 4-7.09.2022, Sofia, Bulgaria

License type

CC BY (attribution alone)

Open Access Mode

publisher's website

Open Access Text Version

final published version

Full text of chapter

Download file

Access level to full text

public

Ministry points / chapter

20

Ministry points / conference (CORE)

70

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