Psych221-Projects-2020-Fall

Launch page for Psych 221 Projects in Fall, 2020

Return to Psych 221 Main

There are two deliverables for the project:

1. A group presentation
2. A wiki-style project page write-up

• The write-up should roughly follow this organization from the Project Guidelines Page
• Please visit MediaWiki's editing help page.

To set up your project's page

• Log in to this wiki with the username and password we sent you
• Edit the Projects section of this page (just below). Do this by clicking on "[edit]" to the right of each section title.
• Make a new line for your project using the format shown below, pasting the line for your project under the last item/group. The first part of the text within the double brackets is the name of the new page. This must be unique, and putting the group member names is a safest way to assure this. The second part, after '|' is the displayed text and can be your project title.
• Save the Project section by clicking the Save button at the bottom of the page
• Finally, clink on the link for your project. This will take you to a new blank page that you can edit. You can use the basic format for your page that is in the Sample Project.

Projects for Psych 221 (2020-2021)

Please edit your project pages starting from the links below. The first one is a sample that includes some wiki formatting. The second one indicates how you should format the link on this page. When you format it and save it, then clicking on the link will automatically create a blank page that you can edit.

1. Sample Project
   • Brian Wandell, Joyce Farrell, Zheng Lyu.
2. Illumination Influence on Virtual Background Detection
   • Jaclyn Pytlarz
3. Google Pixel 4A Camera Noise Model
   • Melissa Horowitz, Joey Yurgelon
4. Correlation Analysis between Semantic Segmentation Performance and Training Data Quality
   • ZhuoYi Cai
5. Google Pixel 4A Lens Shading and Camera Noise Model
   • Tzu-Sheng Kuo, Phani Kumar Kondapani, Vangal Vasudevan Aravindh.
6. Monochromatic and defocusing camera design pipelines in the semantic labeling of images classified by a CNN
   • Uriel Rosa