Background
SwRI's ENABLE is a markerless motion capture technology that provides accurate data while reducing costs and setup time, eliminating the need for body markers. Initially used in sports science, the SwRI team optimizes ENABLE for compatibility with industry-standard animation software. This enhancement broadens the technology's application to various simulation and production areas, where realistic motion is desirable without the precision and cost associated with a full human kinematic model.
Approach
The objective of this project is to enhance the functionality and performance of SwRI's ENABLE for animation applications and optimize its efficiency. Two main strategies are employed: converting ENABLE's joint-rotation data to standard animation formats and applying optimization techniques to improve performance. To achieve animation compatibility, ENABLE's data is converted to integrate with standard animation and rendering software using common tools for visual evaluation and adjustments. In terms of optimization, methods are implemented to reduce file size and increase processing speed while maintaining accuracy. Performance improvements are then tested to ensure enhanced speed and accuracy.
Accomplishments
The project successfully animates a rigged 3D character model using ENABLE's motion capture data in common rigging software. This demonstrates ENABLE's capacity to convert recorded performances into seamless motion capture markers that integrate smoothly with industry-standard animation software. The resulting animation requires minimal adjustments and closely mirrored the original recordings while allowing for artistic customization.
Additionally, several optimization techniques are applied to ENABLE's models, this results in significant improvements in processing speed with minimal impact on accuracy. These optimizations enhance model efficiency, showcasing the technology's potential for faster performance in practical applications.
Figure 1: 3D model captured from real image.
Figure 2: Real image of actor moving for motion capture system.
Awards
Research team won the 2025 National Association of Broadcasters Technology Innovation Award. Award link.