Depth-Image Segmentation Based on Evolving Principles for 3D Sensing of Structured Indoor Environments

This paper presents an approach of depth image segmentation based on the Evolving Principal Component Clustering (EPCC) method, which exploits data locality in an ordered data stream. The parameters of linear prototypes, which are used to describe different clusters, are estimated in a recursive man...

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Detalles Bibliográficos
Autores principales: Antić, Miloš, Zdešar, Andrej, Škrjanc, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271552/
https://www.ncbi.nlm.nih.gov/pubmed/34198980
http://dx.doi.org/10.3390/s21134395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271552/
https://www.ncbi.nlm.nih.gov/pubmed/34198980
http://dx.doi.org/10.3390/s21134395

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