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Collaborative Research: CCSS: Continuous Facial Sensing and 3D Reconstruction via Single-e — NSF Award to University of Georgia Re

Facial landmark tracking and 3D reconstruction are popular and well-studied fields in the intersection of computer vision, graphics, and machine learning. Despite their countless applications such as human-computer interaction, facial expressions analysis, and emotion recognition, existing camera-based solutions requir

Award titleCollaborative Research: CCSS: Continuous Facial Sensing and 3D Reconstruction via Single-e
Award ID2618858
AwardeeUniversity of Georgia Research Foundation Inc
CityATHENS
StateGA
Amount obligated$94,072
Principal investigatorJian Liu
ProgramCSCS: Circuits and Systems for, GOALI-Grnt Opp Acad Lia wIndus
Start date01/01/2026
AbstractFacial landmark tracking and 3D reconstruction are popular and well-studied fields in the intersection of computer vision, graphics, and machine learning. Despite their countless applications such as human-computer interaction, facial expressions analysis, and emotion recognition, existing camera-based solutions require users to be confined to a particular location and face a camera at all times without occlusions. This highly constrained setting prevents them from being deployed in many emergin
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