Date of Award

6-3-2026

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2026

Departments

Computer Engineering; Computer Science and Engineering

First Advisor

Angela Musurlian

Second Advisor

Danielle Heitmuller

Abstract

Motion capture technology is vital for achieving realistic movement in 3D animation, but industry-standard tracking suits and studios remain expensive and inaccessible for students, independent artists, and amateur filmmakers. Consequently, many creators rely on accessible, marker-less motion capture methods, which frequently yield noisy data, scale mismatches between the actor and the rigged model, and unnatural behaviors like foot sliding. To address these technical barriers, this project introduces a free and accessible extension for Blender designed to streamline the cleanup and integration of marker-less motion capture data. It consists of various solutions for methods of combats to motion-captured complications: the keyframe deleter, the footlock, and the rescaling functions. By integrating these functions within one free, accessible, and easy to use extension, BlendMo further increases the use of motion capture – an incredibly limited, expensive and constricted art – to a wider audience.

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