Emotion challenge
Alex Smith, Sven Pohle, Wan‐Chun Ma, Chongyang Ma, Xianchun Wu, Yanbing Chen, Étienne Danvoye, Jorge Jiménez, Sanjit Patel, Mike Sanders, Cyrus A. Wilson · 2017
In recent years the expected standard for facial animation and character performance in AAA video games has dramatically increased. The use of photogrammetric capture techniques for actor-likeness acquisition, coupled with video-based facial capture and solving methods, has improved quality across the industry. However, due to variability across project pipelines, increased per-project scope for performance capture, and a reliance on external vendors, it is often challenging to maintain visual consistency from project to project, and even from character to character within a single project. Given these factors, we identified the need for a unified, robust, and scalable pipeline for actor likeness acquisition, character art, performance capture, and character animation.