BIFNOM: Binary-Coded Features on Normal Maps

We propose a novel method for detecting features on normal maps and describing binary features, called BIFNOM, which is three-dimensionally rotation invariant and detects and matches interest points at high speed regardless of whether a target is textured or textureless and rigid or non-rigid. Conve...

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Detalles Bibliográficos
Autores principales: Miyashita, Leo, Nakamura, Akihiro, Odagawa, Takuto, Ishikawa, Masatoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156490/
https://www.ncbi.nlm.nih.gov/pubmed/34065726
http://dx.doi.org/10.3390/s21103469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156490/
https://www.ncbi.nlm.nih.gov/pubmed/34065726
http://dx.doi.org/10.3390/s21103469

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