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Motion Capture CSE 3541 Matt Boggus.

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Presentation on theme: "Motion Capture CSE 3541 Matt Boggus."— Presentation transcript:

1 Motion Capture CSE 3541 Matt Boggus

2 MoCap Technologies Instrument the talent to facilitate tracking feature points on the human figure Need some kind of sense-able markers from which positional and possibly rotational status can be recorded

3 “Traditional” MoCap Technologies
Optical – uses video capture passive – markers just reflect light active – markers emit light Magnetic – active sensors sense their position and orientation in magnetic field Electro-Mechanical – rotors connected to limb-aligned rods record their status – for hands, optical sensors used sometimes

4 Optical - Passive

5 Optical - Active

6 Ex: Ascension technology
Magnetic

7 Ex: Metamotion Electro-Mechanical

8 Newer MoCap Technologies
Inertial systems (similar to Wii technology) Make-up (fluorescent powder) Semi-passive imperceptible markers (emit light and observe changes ; Kinect uses infrared) Markerless systems (video tracking)

9 Markerless Organic Motion www.organicmotion.com/
Image Metrics (facial)

10 Kinect – skeleton tracking, depth, audio
Using the Kinect in Unity

11 Passive Optical

12 Motion capture lab Multiple markers - e.g., 20-40
Multiple cameras - e.g., 8-14 high-res, high-speed Constrained, conditioned space - 20x20 non-reflective Multiple lights - synced w/ cameras Vicon

13 Motion capture lab

14 Processing the Images PROCESSING STEPS Extract markers from video
Track markers over time in video Marker cleanup 3D marker position reconstruction Joint position reconstruction Joint angle reconstruction

15 Extract markers from video
Basic image processing aided by constrained environment: High contrast markers Special illumination Non-reflective environment

16 Marker tracking Given frames each with recognized markers
Associate markers over multiple frames Temporal coherence using: Position Frame rate Velocity

17 Marker Clean-up

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20 3D – image plane projection
Projecting marker onto image plane

21 Camera calibration Project known 3-space points to camera’s image
Six degrees of freedom - use that many known point-pairs

22 Projecting from 2D image out to 3-space

23 Reconstructing a 3D marker

24 Fitting to the skeleton
Locate joints relative to markers Markers Joint

25 Reconstructing angles

26 Working with Mocap Sample files
Tools MotionBuilder Maya 3DSMax

27 Manipulating the mocap data
Frequency deconstruction & manipulation Transitioning between two motions – Blending How to map a motion onto a figure with different geometry – Retargeting Finding motion clips to create behavior – motion graphs


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