An Occlusion-Aware Framework for Real-Time 3D Pose Tracking

Random forest-based methods for 3D temporal tracking over an image sequence have gained increasing prominence in recent years. They do not require object’s texture and only use the raw depth images and previous pose as input, which makes them especially suitable for textureless objects. These method...

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Detalles Bibliográficos
Autores principales: Fu, Mingliang, Leng, Yuquan, Luo, Haitao, Zhou, Weijia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111635/
https://www.ncbi.nlm.nih.gov/pubmed/30127294
http://dx.doi.org/10.3390/s18082734

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111635/
https://www.ncbi.nlm.nih.gov/pubmed/30127294
http://dx.doi.org/10.3390/s18082734

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