Scopus: 1 citations, Google Scholar: citations
Monocular depth cues in computer vision applications
Cheda, Diego

Date: 2014
Abstract: In the computer vision field, if image depth information were available, many tasks could be posed from a different perspective for the sake of higher performance and robustness. In our thesis, we have demonstrated how coarse depth information can be integrated in different tasks following alternative strategies to obtain more precise and robust results in three computer vision applications: camera rotation parameters estimation, background estimation and pedestrian candidate generation.
Note: Advisors: Dr. Daniel Ponsa Mussarra, Dr. Antonio M. López Peña. Date and location of PhD thesis defense: 12 December 2012, Universitat Autònoma de Barcelona
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Language: Anglès
Document: Altres ; recerca ; Versió publicada
Subject: Computer vision ; Depth estimation ; Monocular cues
Published in: ELCVIA. Electronic letters on computer vision and image analysis, Vol. 13, Núm. 2 (2014) , p. 65-66, ISSN 1577-5097

Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/281641
Adreça original: https://elcvia.cvc.uab.es/article/view/v13-n3-cheda
Adreça original: https://elcvia.cvc.uab.cat/article/view/v13-n3-cheda
DOI: 10.5565/rev/elcvia.620


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 Record created 2014-07-29, last modified 2025-02-05



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