Learning Descriptors Invariance through Equivalence Relations within Manifold: A New Approach to Expression Invariant 3D Face Recognition

This paper presents a unique approach for the dichotomy between useful and adverse variations of key-point descriptors, namely the identity and the expression variations in the descriptor (feature) space. The descriptors variations are learned from training examples. Based on labels of the training...

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Detalles Bibliográficos
Autor principal: Al-Osaimi, Faisal R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321199/
https://www.ncbi.nlm.nih.gov/pubmed/34460556
http://dx.doi.org/10.3390/jimaging6110112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321199/
https://www.ncbi.nlm.nih.gov/pubmed/34460556
http://dx.doi.org/10.3390/jimaging6110112

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