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Adaptable Anatomical Models for Realistic Bone Motion Reconstruction
2015
Computer graphics forum (Print)
b) (c) Geometry (f) (a) (e) Skinning (d) Kinematics Figure 1: Our system starts by capturing animated point clouds using commodity depth-sensors (a). These point clouds (b) are used to learn the subject-specific parameters of our anatomical model, which consists of geometry (c), kinematics (d), and skinning (e). We apply our final personalized model to reconstruct anatomically-plausible bone motion(f). Abstract We present a system to reconstruct subject-specific anatomy models while relying
doi:10.1111/cgf.12575
fatcat:teimaed2cjbwfayj6alr7y7scy