Results 261 to 270 of about 367,868 (278)

Anatomical-Marker-Driven 3D Markerless Human Motion Capture

IEEE Journal of Biomedical and Health Informatics
Marker-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, Guan Ming Lim, Wee Sen Lim, Wei Tech Ang   +3 more
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High speed 3D shape and motion capturing system

ACM SIGGRAPH 2010 Posters, 2010
A 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
openaire   +1 more source

Human Body Motion Capture via 3D Graph-cuts

2006 8th international Conference on Signal Processing, 2006
In 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, Baozong Yuan, Yunda Sun, Zhenjiang Miao   +3 more
openaire   +1 more source

Illumination-Invariant Robust Multiview 3D Human Motion Capture

2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018
In 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., Bernard, F., Xu, W., Theobalt, C. ; https://orcid.org/0000-0001-6104-6625   +3 more
openaire   +2 more sources

Video-based 3D motion capture through biped control

ACM Transactions on Graphics, 2012
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensional controllers capable of implicitly simulating the observed human behavior and replaying this behavior in other environments and under physical perturbations ...
Marek Vondrak, Leonid Sigal, Jessica Hodgins, Odest Jenkins   +3 more
openaire   +1 more source

3D human motion capture from monocular image sequences

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2015
This paper tackles the problem of estimating non-rigid human 3D shape and motion from image sequences taken by uncalibrated cameras. Similar to other state-of-the-art solutions we factorize 2D observations in camera parameters, base poses and mixing coefficients. Existing methods require sufficient camera motion during the sequence to achieve a correct
Bastian Wandt, Hanno Ackermann, Bodo Rosenhahn   +2 more
openaire   +1 more source

Optical Fiber 3D Shape Sensor for Motion Capture

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019
An optical fiber $3\text{D}$ shape sensor for motion capture is reported. The probe is comprised of Bragg grating strain sensors embedded into a $3\text{D}$ -printed polymer fiber substrate, allowing for the continuous assessment of the bending magnitude and direction.
Eric Fujiwara, Yu Tzu Wu, Luiz E. Silva, Hugo E. Freitas, Stenio Aristilde, Cristiano M. B. Cordeiro   +5 more
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Facial motion capture with 3D active appearance models

2013 3rd International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering (ICICI-BME), 2013
Motion detection and tracking of facial features usually use special markers placed assistance on the part of the facial features, there is making the actor became uncomfortable in the process of making motion are applied in the world of animation either games or animated movies.
Cahyo Darujati, Mochammad Hariadi
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3D Motion Parameters Fusion Under a Multi-Vision Motion Capture System

2009 2nd International Congress on Image and Signal Processing, 2009
Passive markers applied to Motion Capture system usually haven't any traits used to discriminate each other. Intricate human motion must lead to lose of markers in one binocular vision system. When the missing points reappear, identifying the marker belonged to which joints becomes a pivotal problem.
Erying Gu, Jiangbin Zheng, Huanhuan Zhang   +2 more
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Efficient Point-Based Pattern Search in 3D Motion Capture Databases

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud), 2018
3D motion capture data is a specific type of data arising in the Internet of Things. It is widely used in science and industry for recording the movements of humans, animals, or objects over time. In order to facilitate efficient spatio-temporal access into large 3D motion capture databases collected via internet-of-things technology, we propose an ...
Beecks, Christian, Grass, Alexander
openaire   +1 more source