Publication | Closed Access
Prakash
68
Citations
13
References
2007
Year
Unknown Venue
Motion DetectionMachine VisionImage AnalysisOn-set Motion CaptureEngineeringMotion Capture3D Pose EstimationEye TrackingExtended RealityStructure From MotionTagged PointsIncident IlluminationComputer VisionMotion Analysis
In this paper, we present a high speed optical motion capture method that can measure three dimensional motion, orientation, and incident illumination at tagged points in a scene. We use tracking tags that work in natural lighting conditions and can be imperceptibly embedded in attire or other objects. Our system supports an unlimited number of tags in a scene, with each tag uniquely identified to eliminate marker reacquisition issues. Our tags also provide incident illumination data which can be used to match scene lighting when inserting synthetic elements. The technique is therefore ideal for on-set motion capture or real-time broadcasting of virtual sets.
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