Integration of Direct- and Feature-Based Methods for Correspondences Refinement 
in Structure-from-Motion

Vidriales Escobar, Mónica Paola

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Integration of Direct- and Feature-Based Methods for Correspondences Refinement in Structure-from-Motion

Vidriales Escobar, M. P. (2014). Integration of Direct- and Feature-Based Methods for Correspondences Refinement in Structure-from-Motion. Master Thesis, Universität des Saarlandes, Saarbrücken.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-CC96-3 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-CC97-1

Genre: Thesis

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2013_Vidriales, Monica_MSc Thesis.pdf (Any fulltext), 130MB

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Creators:
Vidriales Escobar, Mónica Paola¹, Author
Herfet, Thorsten², Advisor
Slusallek, Philipp², Referee

Affiliations:
1International Max Planck Research School, MPI for Informatics, Max Planck Society, ou_1116551
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Accepted: 2014-10-01Date issued: 2014

Publication Status: Issued

Pages: 73 p.

Publishing info: Saarbrücken : Universität des Saarlandes

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Identifiers: BibTex Citekey: VidrialesEscobarMaster2014

Degree: Master

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