Evaluation of interest point matching methods for projective reconstruction of 3d scenes.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBrito, Darlan Nunes de-
Autor(es): dc.creatorNunes, Cristiano Fraga Guimarães-
Autor(es): dc.creatorPádua, Flávio Luis Cardeal-
Autor(es): dc.creatorLacerda, Anisio Mendes-
Data de aceite: dc.date.accessioned2025-08-21T15:41:54Z-
Data de disponibilização: dc.date.available2025-08-21T15:41:54Z-
Data de envio: dc.date.issued2018-01-18-
Data de envio: dc.date.issued2018-01-18-
Data de envio: dc.date.issued2016-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/9264-
Fonte completa do material: dc.identifierhttps://ieeexplore.ieee.org/document/7459626-
Fonte completa do material: dc.identifierhttps://doi.org/10.1109/TLA.2016.7459626-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1021870-
Descrição: dc.descriptionThis work evaluates the application of different state-of-the-art methods for interest point matching, aiming the robust and efficient projective reconstruction of three-dimensional scenes. Projective reconstruction refers to the computation of the structure of a scene from images taken with uncalibrated cameras. To achieve this goal, it is essential the usage of an effective point matching algorithm. Even though several point matching methods have been proposed in the literature, their impacts in the projective reconstruction task have not yet been carefully studied. Our evaluation uses as criterion the estimated epipolar, reprojection and reconstruction errors, as well as the running times of the algorithms. Specifically, we compare five different techniques: SIFT, SURF, ORB, BRISK and FREAK. Our experiments show that binary algorithms such as, ORB and BRISK, are so accurate as float point algorithms like SIFT and SURF, nevertheless, with smaller computational cost.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languagept_BR-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectPoint matching methods-
Palavras-chave: dc.subjectCamera self-calibration-
Palavras-chave: dc.subjectProjective reconstruction-
Título: dc.titleEvaluation of interest point matching methods for projective reconstruction of 3d scenes.-
Aparece nas coleções:Repositório Institucional - UFOP

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