ACMS - Thermal image analysis

This project aims to develop software to extract information from a large collection of thermal images.  The thermal images were taken by Dr. Cara Ocobock's research team of hands, feet, head, etc. of human subjects under different temperature and humidity conditions.  The goal of this research project is to extract temperatures from the thermal images in a highly reliable manner.  Students will develop and test software to analyze this large collection of thermal images.

Name of research group, project, or lab
Prof. Hauenstein's research group
Why join this research group or lab?

Research in ACMS is focused on using mathematical, statistical, and computational tools to make an impact on interesting research problems.  This project is in collaboration with Dr. Cara Ocobock in Anthropology to understand how humans adapt to various climates.  

Logistics Information:
Project categories
Applied and Computational Mathematics and Statistics
Computer Science & Engineering
Student ranks applicable
Sophomore
Junior
Senior
Graduate Student
Student qualifications

Basic programming skills such as Python is necessary.

Hours per week
1 credit / 3-6 hours
Summer - Full Time
Summer - Part Time
Compensation
Research for Credit
Paid - General
Paid - Work-Study Required
Number of openings
1
Techniques learned

Image analysis and programming.

Contact Information:
Mentor
Jonathan Hauenstein
jhauenst@nd.edu
Name of project director or principal investigator
Jonathan Hauenstein
Email address of project director or principal investigator
hauenstein@nd.edu
1 sp. | 0 appl.
Hours per week
1 credit / 3-6 hours (+2)
1 credit / 3-6 hoursSummer - Full TimeSummer - Part Time
Project categories
Computer Science & Engineering (+1)
Applied and Computational Mathematics and StatisticsComputer Science & Engineering