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3D tree modeling using motion capture
2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, 2012Recovering tree shape from motion capture data is a first step toward efficient and accurate animation of trees in wind using motion capture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are not adapted to the unique data set provided by motion capture. We present a method for tree
Jie Long, Michael D. Jones
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Markerless 3D facial motion capture system
SPIE Proceedings, 2012We 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 +6 more
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Gait Recognition from Markerless 3D Motion Capture
2019 International Conference on Biometrics (ICB), 2019State 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 +2 more
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Multisensor-fusion for 3D full-body human motion capture
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010In this work, we present an approach to fuse video with orientation data obtained from extended inertial sensors to improve and stabilize full-body human motion capture. Even though video data is a strong cue for motion analysis, tracking artifacts occur frequently due to ambiguities in the images, rapid motions, occlusions or noise. As a complementary
Pons-Moll, G. +5 more
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Learning-based 3D human motion capture and animation synthesis
2023Realistische virtuelle menschliche Avatare sind ein entscheidendes Element in einer Vielzahl von Anwendungen, von 3D-Animationsfilmen bis hin zu neuen AR/VR-Technologien. Die Erzeugung glaubwürdiger Bewegungen solcher Avatare in drei Dimensionen ist bekanntermaßen eine herausfordernde Aufgabe.
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Use of Motion Capture in 3D Animation: Motion Capture Systems, Challenges, and Recent Trends
2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019In today’s world capturing of motion from a video stream is a growing and challenging area. Motion capture system (Mocap) is widely used in today’s realistic world including sports, entertainment, video gaming and many more. In this paper, firstly we provide an overview of different types of Mocap on the basis of Marker-based Mocap and Markerless Mocap
Shubham Sharma +3 more
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Anatomical-Marker-Driven 3D Markerless Human Motion Capture
IEEE Journal of Biomedical and Health InformaticsMarker-based motion capture (mocap) is a conventional method used in biomechanics research to precisely analyze human movement. However, the time-consuming marker placement process and extensive post-processing limit its wider adoption. Therefore, markerless mocap systems that use deep learning to estimate 2D keypoint from images have emerged as a ...
Prayook Jatesiktat +3 more
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High speed 3D shape and motion capturing system
ACM SIGGRAPH 2010 Posters, 2010A 3D motion capturing and reconstructing system at high speed is presented. The system utilizes the fringe projection technique with one modified DLP projector, one camera and a computing unit to provide real-time reconstruction of forty-two 3D frames per second with the relative accuracy of 1/5000.
Dung A. Nguyen, Zhaoyang Wang
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Human Body Motion Capture via 3D Graph-cuts
2006 8th international Conference on Signal Processing, 2006In this paper, we propose a new algorithm for markerless vision-based human body motion capture. In our method, motion capture or pose estimation is considered as an energy minimization problem, and the energy function construction is converted to a 3D graph construction.
Chengkai Wan +3 more
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Illumination-Invariant Robust Multiview 3D Human Motion Capture
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018In this work we address the problem of capturing human body motion under changing lighting conditions in a multiview setup. In order to account for changing lighting conditions we propose to use an intermediate image representation that is invariant to the scene lighting.
Robertini, N. +3 more
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