Cargando…
Point CNN:3D Face Recognition with Local Feature Descriptor and Feature Enhancement Mechanism
Three-dimensional face recognition is an important part of the field of computer vision. Point clouds are widely used in the field of 3D vision due to the simple mathematical expression. However, the disorder of the points makes it difficult for them to have ordered indexes in convolutional neural n...
Autores principales: | Wang, Qi, Lei, Hang, Qian, Weizhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537083/ https://www.ncbi.nlm.nih.gov/pubmed/37765772 http://dx.doi.org/10.3390/s23187715 |
Ejemplares similares
-
Novel 3D local feature descriptor of point clouds based on spatial voxel homogenization for feature matching
por: Yang, Jiong, et al.
Publicado: (2023) -
A Fechner multiscale local descriptor for face recognition
por: Feng, Jinxiang, et al.
Publicado: (2023) -
Feature Point Descriptors: Infrared and Visible Spectra
por: Ricaurte, Pablo, et al.
Publicado: (2014) -
Statistical local descriptors for face recognition: a comprehensive study
por: Eleyan, Alaa
Publicado: (2023) -
PPTFH: Robust Local Descriptor Based on Point-Pair Transformation Features for 3D Surface Matching
por: Wu, Lang, et al.
Publicado: (2021)