Motive 1.5 Final is now available
Featuring over 150 new features and fixes, Motive 1.5 Final is now available for download.
New features & enhancements
- Improved real-time skeleton tracking, including greater stability during heavy marker occlusion and faster recovery after tracking loss.
- New rigid body engine, offering more accurate 6DoF data, significantly higher marker counts, and reduced noise and latency—especially in difficult tracking cases.
- Improved camera ray ranking during reconstruction, to better eliminate outlier rays.
- New editing tools, including pattern and model-based gap filling.
- New real-time NatNet commands, offering improvements to remotely triggering recording and managing files.
- Plus over 150 additional features and fixes. The complete changelog can be viewed here.
Direct download link:
http://media.naturalpoint.com/software/ ... .0_x32.exe
http://media.naturalpoint.com/software/ ... .0_x64.exe
Licensing:
Requires a license valid through October 15, 2013 (check license status here).
Download section on the OptiTrack site:
http://www.naturalpoint.com/optitrack/d ... otive.html
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Previous Release Notes
Motive 1.5 Beta 2 Key Features
Improvements:
Fixes:
- Several new commands have been added to the NatNet command stream:
- Start recording
- Stop recording
- Set current take (for either recording or playback)
- Set current mode (Live/Edit)- Motive is now consistently right-handed. No more right handed/left handed switching
- A number of NatNet marker streaming issues that existed in Beta 1 were resolved
- The Motive API was giving incorrect results in 1.5 Beta 1
- A few random crashes while recording MJPEG from a single Prime 17W camera
- Occasional crashes on 'Trajectorize All'
- VRPN and Trackd streaming was not working in 1.5 Beta 1
- Plus over 50 additional bug fixes
Motive 1.5 Beta 1 Key Features
- Skeleton tracking is more stable during heavy marker occlusion (for Motive:Body users)
- Faster skeletal labeling recovery during real-time (for Motive:Body users)
- Rigid body tracking and stability have been significantly improved
- New rigid body pose estimation delivers better 6 DOF accuracy, lower noise, and significant reductions in latency--especially in difficult rigid body tracking cases
- Live tracking of markers, skeletons and rigid bodies can be recorded directly, potentially removing the need for trajectorization
- Model-based gap filling that uses tracked skeletons or rigid bodies to fill large data gaps
- Pattern-based gap filling that allows similar markers to drive a solution for a missing marker
- Improved camera ray ranking during reconstruction, to better eliminate outlier rays