Phosphene vision of depth and boundary from segmentation-based associative MRFs
Barnes, Nick; Xie, Yiran; Liu, Nianjun
Description
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]
Collections | ANU Research Publications |
---|---|
Date published: | 2012 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/78412 |
Source: | IEEE Engineering in Medicine and Biology Society: Conference Proceedings |
Download
File | Description | Size | Format | Image |
---|---|---|---|---|
01_Barnes_Phosphene_vision_of_depth_and_2012.pdf | 607.43 kB | Adobe PDF | Request a copy |
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.
Updated: 17 November 2022/ Responsible Officer: University Librarian/ Page Contact: Library Systems & Web Coordinator