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  Learning to Choose Optimal Viewpoints for Pose Estimation of 3D Objects

Müller, P. (2015). Learning to Choose Optimal Viewpoints for Pose Estimation of 3D Objects. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-18BF-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-18C2-8
Genre: Thesis
Latex : Learning to Choose Optimal Viewpoints for Pose Estimation of {3D} Objects

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Master Thesis Philipp Müller.pdf (Any fulltext), 10MB
 
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 Creators:
Müller, Philipp1, Author           
Affiliations:
1Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20152015
 Publication Status: Issued
 Pages: 55 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: MuellerMaster2015
 Degree: Master

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