Learning to Predict Dense Correspondences for 6D Pose Estimation

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Dresden, Technische Universität Dresden, Dissertation, 2018

Keyword: Learning

Event: Veröffentlichung

(where): Dresden

(who): Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden

(when): 2018

Event: Veröffentlichung

(where): Dresden

(who): Technische Universität Dresden

(when): 2018

Creator: Brachmann, Eric

Contributor: Gumhold, Stefan
Rother, Carsten
Gumhold, Stefan
Matas, Jiri

URN: urn:nbn:de:bsz:14-qucosa-236564

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:41 PM CET

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Associated

Brachmann, Eric
Gumhold, Stefan
Rother, Carsten
Matas, Jiri
Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Technische Universität Dresden

Time of origin

2018

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Learning to Predict Dense Correspondences for 6D Pose Estimation

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Other Objects (12)

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B.E.L. Correspondences

Bosch-Correspondences

Navajo Correspondences

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6 DoF Pose Estimation of Known and Novel Objects With Dense Correspondences

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Towards Monocular 6D Object Pose Estimation

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