Franziska Mueller

Papers

Total Citations

127

H-Index

About

Franziska Mueller is a computer vision researcher whose work centers on the reconstruction and tracking of human hands in three-dimensional space, with particular emphasis on real-world interaction scenarios. Her most influential contributions focus on solving one of the field's most technically demanding challenges: accurately capturing the 3D pose and geometry of two interacting hands from monocular RGB video in real time — a problem complicated by frequent occlusions, complex joint configurations, and the subtle dynamics of hand-to-hand contact. Her landmark work, RGB2Hands, has attracted significant attention in the research community, accumulating over 85 citations since its introduction in 2020, with a subsequent publication in 2021 adding a further 42 citations. These contributions push well beyond the limitations of earlier systems, which typically handled only single-hand tracking or relied on depth sensors. By making dual-hand reconstruction feasible from standard video input, Mueller's research opens practical pathways for applications in augmented and virtual reality, human-robot interaction, and sign language recognition. Her work exemplifies a rigorous approach to bridging the gap between controlled laboratory methods and the messiness of real-world human motion, making her an important voice in the ongoing advancement of embodied human-computer interaction.