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Phosphene vision of depth and boundary from segmentation-based associative MRFs

Barnes, Nick; Xie, Yiran; Liu, Nianjun


This paper presents a novel low-resolution phosphene visualization of depth and boundary computed by a two-layer Associative Markov Random Fields. Unlike conventional methods modeling the depth and boundary as an individual MRF respectively, our algorithm proposed a two-layer associative MRFs framework by combining the depth with geometry-based surface boundary estimation, in which both variables are inferred globally and simultaneously. With surface boundary integration, the experiments...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: IEEE Engineering in Medicine and Biology Society: Conference Proceedings


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