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Semantic and structural image segmentation for prosthetic vision
2020
PLoS ONE
Prosthetic vision is being applied to partially recover the retinal stimulation of visually impaired people. However, the phosphenic images produced by the implants have very limited information bandwidth due to the poor resolution and lack of color or contrast. The ability of object recognition and scene understanding in real environments is severely restricted for prosthetic users. Computer vision can play a key role to overcome the limitations and to optimize the visual information in the
doi:10.1371/journal.pone.0227677
pmid:31995568
fatcat:jqlrxmyp6jdhtnrewxil5qp644