Zign Track Single User Download

Zign Track is the fastest and easiest way to create facial motion capture in real-time at your home or studio, using a regular DV or web camera.

Motion capture with Zign Track does not require any special skills or expensive equipment. You can use any webcam or DV camera, connect it to your computer and start capturing. Or, you can record your video in advance, load your video in Zign Track and process it.

The interface for Zign Track  is completely redesigned for an improved workflow.

You can see the input from your camera and see the captured motion on the face rig in the 3D preview in real-time. The build in tweak tools allow you to correct any motion or apply exaggeration before, during and after recording.

You can select a marker layout from a list of presets. Zign Track 2 automatically detects your markers as soon as they are visible. If small tracking errors occur, Zign Track 2 will detect these errors and correct them while you capture. Cleaning up errors yourself is hardly needed anymore.

Marker layouts
With the different predefined marker layouts you can select the layout that best suits your 3D character models.

With Zign Track 2 it is no longer needed to specify the placement of each marker in your video. Zign Track 2 will search for markers based on the selected marker layout and automatically detect them.

Common export formats
Zign Track 2 exports to the common motion capture formats BVH, TRC and C3D. These general motion capture formats contain bone or marker data and are supported by most 3D animation applications.

Zign Track 2 also exports to the morph based PZ2 file format for Poser® and DAZ Studio™, and a combined bone/pose driven ACT file format for Animation: Master.

Morph driven export
The exporter for Poser®, DAZ Studio™ and Animation: Master creates 70 base morphs based on the captured motion. You can use and combine as much of these morphs as you like to as many target morphs your model needs. This will give you maximum control over your morph based facial animations.