Ami Drory
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View article: Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models
Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models Open
We present a computer vision-based approach to estimating the projected frontal surface area (pFSA) of cyclists from unconstrained images. Wind tunnel studies show a reduction in cyclists’ aerodynamic drag through manipulation of the cycli…
View article: Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth
Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth Open
Motivation. In Biomechanics, musculoskeletal models yield information that cannot be non-invasively obtained by direct measurement based on skeletal kinematics. Unsatisfactorily, obtaining accurate skeletal kinematics is limited to either …