Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks

The paper presents a novel depth-estimation method for light-field (LF) images based on innovative multi-stereo matching and machine-learning techniques. In the first stage, a novel block-based stereo matching algorithm is employed to compute the initial estimation. The proposed algorithm is specifi...

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Detalles Bibliográficos
Autores principales: Rogge, Ségolène, Schiopu, Ionut, Munteanu, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663356/
https://www.ncbi.nlm.nih.gov/pubmed/33143080
http://dx.doi.org/10.3390/s20216188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663356/
https://www.ncbi.nlm.nih.gov/pubmed/33143080
http://dx.doi.org/10.3390/s20216188

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