Name
Abstract | ||
|---|---|---|
Spatiotemporal image pixelization is a technique useful to improve characters recognition to visual impaired subjects through image projection, using a prosthetic vision device. Subjects gifted with the most spread on-market devices, which exploit a camera to acquired images from the surrounding environment and electrically stimulate the visual pathway to elicit vision, don't share one of the characteristic eye behaviours along a visual task: fixational eye movement. Emulating the missed phenomenon using biological inspired models may provide a tool helpful to develop a spatiotemporal image sampling which may improve character recognition, furthermore replacing a physiological feature in the human eye system. In this study a model which mimic fixational eye movement has been developed, jointly investigating physiological features and feasible implementation on a real device, through simulated prosthetic vision. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/EMBC.2019.8857015 | 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Human eye,Computer vision,Data modeling,Task analysis,Character recognition,Visualization,Computer science,Eye movement,Artificial intelligence,Pixelization,Image sampling | Conference | 2019 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rudy Rizzo | 1 | 0 | 0.34 |
| Jong-Mo Seo | 2 | 0 | 0.68 |