Dense versus Sparse Approaches for Estimating the Fundamental Matrix

Valgaerts, Levi; Bruhn, Andrés; Mainberger, Markus; Weickert, Joachim

doi:10.1007/s11263-011-0466-7

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Dense versus Sparse Approaches for Estimating the Fundamental Matrix

Valgaerts, L., Bruhn, A., Mainberger, M., & Weickert, J. (2011). Dense versus Sparse Approaches for Estimating the Fundamental Matrix. International Journal of Computer Vision, 96(2), 212-234. doi:10.1007/s11263-011-0466-7.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-507A-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-507B-0

Genre: Journal Article

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Creators:
Valgaerts, Levi¹, Author
Bruhn, Andrés¹, Author
Mainberger, Markus¹, Author
Weickert, Joachim¹, Author

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1External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Published Online: 2011Date issued: 2011-06

Publication Status: Issued

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Identifiers: BibTex Citekey: Valgaerts2011
DOI: 10.1007/s11263-011-0466-7

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Title: International Journal of Computer Vision

Other : Int. J. Comput. Vis.

Source Genre: Journal

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Publ. Info: New York, NY : Springer

Pages: - Volume / Issue: 96 (2) Sequence Number: - Start / End Page: 212 - 234 Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668