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Global Workflow of a Comanipulation-Based Robotic System for Cervical Spine Surgery. [PDF]

Int J Med Robot
Koszulinski A, Sandoval J, Wu CT, Huang SH, Sahani SK, Wu SL, Essomba T, Vendeuvre T, Faure JP, Zeghloul S, Laribi MA.   +10 more
europepmc   +1 more source

3D Motion Capture of Markerless Hands

3D Motion Capture of Markerless Hands
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Environment-aware 3D Human Motion Capture in Challenging Scenarios

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Validation of pitchAI ^TM markerless motion capture using marker-based 3D motion capture

Sports Biomechanics, 2022
This study sought to compare and validate baseball pitching mechanics, including joint angles and spatiotemporal parameters, from a single camera markerless motion capture solution with a 3D optical marker-based system. Ten healthy pitchers threw 2-3 maximum effort fastballs while concurrently using marker-based optical capture and pitchAITM ...
Tyler J. Dobos, Ryan W. G. Bench, Colin D. McKinnon, Anthony Brady, Kyle J. Boddy, Michael W. R. Holmes, Michael W. L. Sonne   +6 more
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Markerless 3D facial motion capture system

SPIE Proceedings, 2012
We propose a novel markerless 3D facial motion capture system using only one common camera. This system is simple and easy to transfer facial expressions of a user's into virtual world. It has robustly tracking facial feature points associated with head movements. In addition, it estimates high accurate 3D points' locations.
Youngkyoo Hwang, Jung-Bae Kim, Xuetao Feng, Won-Chul Bang, Taehyun Rhee, James D. K. Kim, Chang-Yeong Kim   +6 more
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CUDA Acceleration of 3D Dynamic Scene Reconstruction and 3D Motion Estimation for Motion Capture

2012 IEEE 18th International Conference on Parallel and Distributed Systems, 2012
Tracking of 3D human body movement from multiple camera video streams is an important problem in the domain of computer vision. In this paper we perform body pose tracking in 3D space using 3D data reconstructed at every frame. We present an efficient GPU-based method for 3D reconstruction of the real world dynamic scenes.
Zhang, Zheng, Seah, Hock Soon
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Gait Recognition from Markerless 3D Motion Capture

2019 International Conference on Biometrics (ICB), 2019
State of the art gait recognition methods often make use of the shape of the body as well as its movement, as observed in the use of Gait Energy Images(GEIs), for recognition. However, it is desirable to have a method that works exclusively with the movement of the body, as clothing and other factors may interfere with the biometric signature from body
James Rainey, John Bustard, Seán F. McLoone   +2 more
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