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Description
This thesis surveys and analyzes applications of machine learning techniques to the fields of animation and computer graphics. Data-driven techniques utilizing machine learning have in recent years been successfully applied to many subfields of animation and computer graphics. These include, but are not limited to, fluid dynamics, kinematics, and character

This thesis surveys and analyzes applications of machine learning techniques to the fields of animation and computer graphics. Data-driven techniques utilizing machine learning have in recent years been successfully applied to many subfields of animation and computer graphics. These include, but are not limited to, fluid dynamics, kinematics, and character modeling. I argue that such applications offer significant advantages which will be pivotal in advancing the fields of animation and computer graphics. Further, I argue these advantages are especially relevant in real-time implementations when working with finite computational resources.
ContributorsSaba, Raphael Lucas (Author) / Foy, Joseph (Thesis director) / Olson, Loren (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Through personal experience, my co-founder and I know that young adults often get wrapped up in their work and can forget about the key aspects of life like friendship, mental and physical health, and going to an exciting event. These issues are particularly prevent when someone is planting roots in

Through personal experience, my co-founder and I know that young adults often get wrapped up in their work and can forget about the key aspects of life like friendship, mental and physical health, and going to an exciting event. These issues are particularly prevent when someone is planting roots in a new city. In order to form a solution to this daunting feeling of unfamiliarity and disconnectedness, we have created The Loop which is an app that aims to combat these problems in young adults’ lives. This app provides a platform for young adults all around their designated city to find comfort in small communities. We gather data of the user’s interests and they then are presented a wide variety of events and “loops” to join that cater to their preferences. With this app, we hope that young adults can find their home away from home and we will provide that for them by keeping them in the loop.
ContributorsCavalier, Mia (Author) / Cote, Jillian (Co-author) / Byrnes, Jared (Thesis director) / Swader, Melissa (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2024-05