We introduce DeMoCap, the first data-driven approach for end-to-end marker-based MoCap, using only a sparse setup of spatio-temporally aligned, consumer-grade infrared-depth cameras. Trading off some of their typical features, our approach is the sole robust option for far lower-cost marker-...
Optical marker-based motion capture (MoCap) remains the predominant way to acquire high-fidelity articulated body motions. We introduce DeMoCap, the first data-driven approach for end-to-end marker-based MoCap, using only a sparse setup of spatio-temporally aligned, consumer-grade infrared-depth...
In a recent scoping review (Scott et al., 2022) we discussed how single camera markerless motion capture (SCMoCap) may help to facilitate motion analysis i... B Scott,E Chadwick,M Mcinnes,... - 《Gait & Posture》 被引量: 0发表: 2023年 Methods for evaluation of corneal nerve fibres ...
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflective straps and patches (reflector...
(i.e., height-map) are independently modeled with one stream of ConvNet, which are then jointly fined-tuned for improved 2D joints detection. In addition, the nature of the dual-stream ConvNet architecture also allows the proposed method to be coupled with any improved RGB-based 2D joint ...
A × 63 objective lens with a numeric aperture of 0.9 and a working distance, relative to the applanating cap (TomoCap; Heidelberg Engineering GmbH) of 0.0 to 3.0 mm, is used. The size of each 2-dimensional image produced is 384 × 384 pixels with a 15° × 15° ...
In this article, we design a divide-and-conquer-based MoCapsolving network, dubbed MarkerNet, to estimate human skeleton motions fromsequential raw markers effectively. In a nutshell, our key idea is to decomposethe task of direct solving of global motion from all markers into first modelings...
The motion of the skeletal estimated from skin attached marker-based motion capture(MOCAP) systems is known to be affected by significant bias caused by anatomical landmarks mislocation but especially by soft tissue artifacts (such as skin deformation and sliding, inertial effects and muscle ...
Video-based, markerless, mocap systems are, in some cases, replacing marker-based systems, but hybrid systems are less explored. We develop methods for coregistration between 2D video and 3D marker positions when precise spatial relationships are not known a priori. We illustrate these metho...
Sigal L., Comparison of Markerless and Marker-Based Motion Capture Technologies through Simultaneous Data Collection, http://www.cs.cmu.edu/~yaser/Lecture-3-MarkerBasedMocap .pdfCESERACCIU E., SAWACHA Z., COBELLI C.: Compar- ison of markerless and marker-based motion capture technolo- gies ...