{"id":1407,"date":"2019-02-15T20:05:27","date_gmt":"2019-02-15T20:05:27","guid":{"rendered":"http:\/\/blogs.discovery.wisc.edu\/projects\/?p=1407"},"modified":"2019-02-15T20:05:27","modified_gmt":"2019-02-15T20:05:27","slug":"visual-acuity-week-1","status":"publish","type":"post","link":"https:\/\/blogs.discovery.wisc.edu\/projects\/2019\/02\/15\/visual-acuity-week-1\/","title":{"rendered":"Visual Acuity, Week 1"},"content":{"rendered":"

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Progress<\/h2>\n

This week I started building the unity project for the Landolt C test, as well as continuing to learn about optometry in an effort to better understand the underlying principles of what I’m doing. I started Tuesday by looking more into some of the studies mentioned in Varadharajan (which talks about how to asses and build a new logMAR chart). While it’s not directly pertinent to the Landolt C format, there are small details about assessing visual acuity tests that will prove useful for validation of the test once complete. Also I’m gaining a better sense of how to navigate the subject of optometry as I continue looking for things more related to Landolt C.
\nThe progress on the test itself is going smoothly. Tuesday I used Photoshop to produce images for Landolt C. and E tests, then imported them into unity and got them pasted onto a viewing plane. For now the structure of the test in unity remains fairly simple. A single camera points at a viewing plane with the texture on it.<\/p>\n

By the end of my time Friday, I completed the functionality of the test for the on screen viewing environment, essentially reproducing a basic version of the FrACT application. Unlike the FrACT application I’m using a light grey C on an all black background, as this theoretically eliminates the issue of lighting the scene.<\/p>\n

As it stands now, the test does the following:<\/p>\n