Cargando…
Robust Object Recognition under Partial Occlusions Using NMF
In recent years, nonnegative matrix factorization (NMF) methods of a reduced image data representation attracted the attention of computer vision community. These methods are considered as a convenient part-based representation of image data for recognition tasks with occluded objects. A novel modif...
Autores principales: | Soukup, Daniel, Bajla, Ivan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396239/ https://www.ncbi.nlm.nih.gov/pubmed/18509493 http://dx.doi.org/10.1155/2008/857453 |
Ejemplares similares
-
Beyond core object recognition: Recurrent processes account for object recognition under occlusion
por: Rajaei, Karim, et al.
Publicado: (2019) -
Theorems on Positive Data: On the Uniqueness of NMF
por: Laurberg, Hans, et al.
Publicado: (2008) -
A robust semi-supervised NMF model for single cell RNA-seq data
por: Wu, Peng, et al.
Publicado: (2020) -
Rank-Two NMF Clustering for Glioblastoma Characterization
por: Bougacha, Aymen, et al.
Publicado: (2018) -
Efficient Detection of Occlusion prior to Robust Face Recognition
por: Min, Rui, et al.
Publicado: (2014)