Optimizing Character Animations using Online Crowdsourcing
Benjamin Kenwright

TL;DR
This paper introduces a web-based crowdsourcing approach to optimize and evaluate expressive, physically correct character animations, reducing unnatural artifacts without relying on pre-recorded data libraries.
Contribution
It presents a novel online crowdsourcing system integrated with a physics-based animation platform for improving character motion quality.
Findings
Crowdsourcing reduces unnatural artifacts in animations.
Web-based platform enables easy, platform-independent animation optimization.
The system facilitates subjective evaluation of character motions.
Abstract
This paper presents a novel approach for exploring diverse and expressive motions that are physically correct and interactive. The approach combining user participation in with the animation development process using crowdsourcing to remove the need for data-driven libraries while address aesthetic limitations. A core challenge for character animation solutions that do not use pre-recorded data is they are constrained to specific actions or appear unnatural and out of place (compared to real-life movements). Character movements are very subjective to human perception (easily identify underlying unnatural or strange patterns with simple actions, such as walking or climbing). We present an approach that leverage's crowdsourcing to reduce these uncanny artifacts within generated character animations. Crowdsourcing animations is an uncommon practice due to the complexities of having…
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Taxonomy
TopicsData Visualization and Analytics · Video Analysis and Summarization · Music Technology and Sound Studies
