1. MoSh: Motion and Shape Capture from Sparse Markers [J] . Matthew Loper, Naureen Mahmood, Michael J. Black ACM Transactions on Graphics . 2014,第6CD期 机译:MoSh:稀疏标记捕获运动和形状 2. Predicting missing markers in human motion capture using l1-sparse representation [J] . Jun ...
@article{Loper:SIGASIA:2014, title = {{MoSh}: Motion and Shape Capture from Sparse Markers}, author = {Loper, Matthew M. and Mahmood, Naureen and Black, Michael J.}, address = {New York, NY, USA}, publisher = {ACM}, month = nov, number = {6}, volume = {33}, pages = {220...
Mosh: motion and shape capture from sparse markers. Inter- national Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 33(6):220–1, 2014. 2 [18] Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Ger- ard Pons-Moll, and Michael J Black. AMASS: Archive of motion...
Black. MoSh: Motion and Shape Capture from Sparse Markers. ACM Transactions on Graphics, 33(6), Nov. 2014. [66] Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black. Smpl: A skinned multi-person linear model. ACM Transac...
NOTE : Since motion capture is a field that has been studied for many years, I will collect the up to date papers first and then try to gather the old but classical one. methods based directly on video methods based on body model such as smpl/smpl-x ...
The field of human motion capture technology represents an emergent and multifaceted domain that encapsulates various disciplines, including but not limited to computer graphics, ergonomics, and communication technology. A distinct network platform within its domain has been establ...
8Optical motion capture The aim is to obtain a 3D model of an actor filmed by a system with multi-cameras which can require markers[254]or not[247,250–253,255,257]. Because it is impossible to have a rigorous3D reconstructionof a human model, a 3D voxelapproximation[250,251]obtained ...
In this area, outline the body in plain text and add the sensitive information you would like to send.When clicking in each of the textboxes, you may see ‘Insert parameters from previous step.’ These parameters you see suggested are the responses you may have previously pulled from either...
Informatics, Saarland Informatics Campus Abstract Motion capture from sparse inertial sensors has shown great potential compared to image-based approaches since occlusions do not lead to a reduced tracking quality and the recording space is not restricted to be w...
Several approaches have recently been proposed for training motion capture models for scientific applications without the need for manual labeling of newly collected data. Some notable methods rely on multi-camera-based 3D reconstruction18, implanted physical markers19, or a pre-built 3D model of the...