Wiki Documentation Site

User Tools

Site Tools

You are here: Main Page » visual3d » documentation » Markerless Motion Capture Overview
visual3d:documentation:markerless_motion_capture

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
visual3d:documentation:markerless_motion_capture [2026/06/09 19:28] – [What is Markerless?] wikisysopvisual3d:documentation:markerless_motion_capture [2026/07/08 20:20] (current) – [What is Markerless?] julia
Line 5: Line 5:
 What most people think of when they hear "markerless motion capture", is the system which uses vision-based deep learning to detect and identify anatomical landmarks (similar to - but not necessarily the same as - the physical markers in marker-based methods), in 2D image space (per camera, per frame). The 3D position of the subject is found through triangulation across multiple calibrated cameras. The output of these systems is therefore generally 4x4 pose matrices that fully represent the pose (3D position and orientation) of the associated [[visual3d:documentation:modeling:segments:segment_overview|segment]]. Examples of vision-based markerless systems include [[visual3d:documentation:third-party:theia|Theia]] and [[visual3d:documentation:third-party:fujitsu|Fujitsu]]. What most people think of when they hear "markerless motion capture", is the system which uses vision-based deep learning to detect and identify anatomical landmarks (similar to - but not necessarily the same as - the physical markers in marker-based methods), in 2D image space (per camera, per frame). The 3D position of the subject is found through triangulation across multiple calibrated cameras. The output of these systems is therefore generally 4x4 pose matrices that fully represent the pose (3D position and orientation) of the associated [[visual3d:documentation:modeling:segments:segment_overview|segment]]. Examples of vision-based markerless systems include [[visual3d:documentation:third-party:theia|Theia]] and [[visual3d:documentation:third-party:fujitsu|Fujitsu]].
  
-{{:visual3d:documentation:theia.png?|400}}+Some people also consider IMU's to be a markerless system. Check out the [[visual3d:documentation:inertial_measurement_units_overview|IMU Overview Page]] to learn more.
  
-Image source: Theia Markerless: https://www.theiamarkerless.ca/ 
  
 +{{:visual3d:documentation:image_1_.png?|}}
 +{{:visual3d:documentation:image_2_.png?|}}
  
-Some people also consider IMU's to be a markerless system. Check out the [[visual3d:documentation:inertial_measurement_units_overview|IMU Overview Page]] to learn more.+ 
 +//Markerless motion capture processed using Theia3D//
  
 ===== Markerless data in Visual3D ===== ===== Markerless data in Visual3D =====
Line 16: Line 18:
  
 Visual3D has automatic model building for [[visual3d:documentation:third-party:theia|Theia]], [[visual3d:documentation:third-party:fujitsu|Fujitsu]], [[visual3d:documentation:third-party:xsens|XSens]], [[:visual3d_partner_integrations#kinatrax|Kinatrax]], and Hawkeye. Visual3D has automatic model building for [[visual3d:documentation:third-party:theia|Theia]], [[visual3d:documentation:third-party:fujitsu|Fujitsu]], [[visual3d:documentation:third-party:xsens|XSens]], [[:visual3d_partner_integrations#kinatrax|Kinatrax]], and Hawkeye.
- 
-{{:visual3d:documentation:automatic_model_building.png|}} 
  
 Visual3D builds the model from the body segment position and orientations, in the form of 4x4 transformation matrices. Segment pose can be found in the ROTATION folder under the main file tree. Visual3D builds the model from the body segment position and orientations, in the form of 4x4 transformation matrices. Segment pose can be found in the ROTATION folder under the main file tree.
Line 42: Line 42:
 =====Notes===== =====Notes=====
 Check the [[sift:documentation:release_notes|release notes]] for specific updates for how the systems models are being built. For example, shadow segments are added automatically to the model for the thorax and feet for Theia and XSens data. Check the [[sift:documentation:release_notes|release notes]] for specific updates for how the systems models are being built. For example, shadow segments are added automatically to the model for the thorax and feet for Theia and XSens data.
- 
-===== References ===== 
-[1] J. Outerleys et al., “Clinical integration of markerless motion capture: A multicentre study of gait in knee osteoarthritis,” Journal of Biomechanics, vol. 192, p. 112952, Nov. 2025, doi: 10.1016/j.jbiomech.2025.112952. 
  
  
visual3d/documentation/markerless_motion_capture.1781033325.txt.gz · Last modified: by wikisysop