Face Scanner iOS App
We have concluded the data collection study and the Face Scanner App has been removed from the app store. Thank you if you have participated!
If you are researcher and would like to access the largest textured 3D facial dataset collected via this Face Scanner iOS App, please read this: 3D Facial Dataset.
Thank you very much for your interest in participating in this study that aims to develop a database of 3D models of the face for scientific research.
Scan your face in less than a minute using the iOS app and receive your facial 3D model via email!
Please note that this research has been approved by an Institutional Review Board (IRB) as described in the informed consent form
You can download the iOS App from the Apple App Store: click to download
Please check out the following Youtube video to see how the app works:
3D Facial Scanning Tips:
FAQ:
How are we going to use the 3D facial database? We will be able to develop novel methodologies and software for facial recognition and contribute to the science by using this database. We believe the advancements made utilizing this 3D facial database will help Facial Plastic Surgeries and Craniofacial Research.
Protecting your data: Your individual information will be protected in all data resulting from this study. This research has been approved by an Institutional Review Board. Please see the Informed Consent and privacy policy for more information.
How can you receive your 3D facial scan: After participating, you can select your 3D face scan from the list and then email it to yourself.
Can I scan more than once before 'Save and Upload'? Yes, please scan again as many times as you want if you are not satisfied with your scan before clicking the 'Save and Upload' button.
Can I scan family and friends? Yes, you can. You can select their 3D scan from the list and email them as well. We will collect a limited number of 3D facial scans. As long as we still continue to collect 3D facial scans, please contribute to our research by scanning your family and friends as long as they would like to participate in this study.
This research is supported by a grant from Amazon through the AWS Cloud Credits for Research program as well as a grant from the Health System Engineering (HSE) program at the Florida Polytechnic University.