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Accuracy of photogrammetric extraction of the head and torso shape for personal acoustic HRTF modeling

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Photogrammetric computational methods can acquire precise personal head, external ear, and upper torso shapes using video captured with a mobile phone. We analyze the accuracy and repeatability of generating such 3D ge-ometry information. A known head and torso simulator (Kemar) as well as a 3D printed plastic head-and-torso dummy of a real person are considered. The resulting 3D geometry data is compared to the manufacturer’s or the actual 3D geometry. Shape differences between geometries are analyzed. The computer-modeled head-related transfer functions implied by the geometries are compared. The impacts of differences in geometries are dis-cussed. Photogrammetric determination of the 3D head-and-torso geometry can have sufficient accuracy to allow the computation of realistic personal head-related transfer function.

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