Month 1 - Paperwork, paperwork, paperwork!

Month 1 of the project mostly consisted of creating the necessary documentation to proceed with the research into Large Area 3D Generation. Although the research is primarily academic, a noticeable portion of assignments acknowledged the potential commercialization of the project.

In order to meet the needs of potential consumers, reviews of similar products were taken into consideration. Both positive reviews - such as those focused on inspirational aspects of real-world 3D recreations - and the negative - a lack of intuitive controls and bloat features.

Similar to projects found in the industry, a high level design document was developed. This document has been a boon when completing the downstream assignments because it acts as a road map for the project as a whole.

To emphasize the importance of societal benefits, a project requirements document and SWOT analysis were created and IRB training was refreshed. To add to this, IRB documentation was also created to ensure any study participants are adequately protected.

In order to procure sufficient training and validation data for a potential object matching AI module, a study was designed to allow participants to determine if multiple images contained the same object. The study would task participants to analyze pairs of images and answer if both images contained the same object. For example, the first image is of a car from the front and the second image is of a car from the left. The car - in both images - is wrapped in a box labeled “car” as well. In this case the participant would answer “yes”. If the labels do not match or the objects are clearly different - such as two different types of trees, or a tree and a house - then the participant should answer “no”.

While AI training data will help the object matching module of the project, I value the participants’ privacy more so. As such, all of the yes and no answers will be collected anonymously. This ensures the only personally identifiable information collected is a copy of the consent form.