3D Joint Coordinate Correction for Marker-Based Motion Capture
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Solution Overview
Problem
Existing motion capture methods require performers to wear wearable sensors, leading to inconvenience and reduced accuracy due to movement constraints and high implementation costs, complexity, and require skilled technicians.
Innovation Solution
A data processing method that determines three-dimensional attitude angles and coordinates of joint points in a virtual object by correcting displacement deviations using a first joint point's coordinates based on historical coordinates and attitude angles, eliminating the need for wearable sensors and improving motion accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wearable sensors are used for motion capture, then motion tracking can be achieved, but the performer experiences inconvenience and reduced movement accuracy
Solution Approach 1:
The patent extracts the motion capture function from wearable sensors and implements it through image processing of reflective markers. By removing the wearable sensor requirement and using only passive markers captured by cameras, the system eliminates the constraint on performer movement while maintaining motion tracking capability through computer vision algorithms
Solution Approach 2:
The patent replaces the mechanical wearable sensor system with an optical measurement system using reflective markers and cameras. This substitution eliminates the need for powered devices on the performer's body, allowing natural movement while capturing motion data through light reflection and image processing
2Reliability
If wearable sensors are used for motion capture, then motion data can be collected, but system complexity and implementation costs increase
Solution Approach 1:
The patent uses simple reflective markers that copy the motion of body parts rather than using complex sensors. These passive markers reflect light to create visible tracking points in images, allowing motion capture through software processing alone without requiring complex hardware on the performer
Solution Approach 2:
The patent employs inexpensive reflective markers instead of costly wearable sensors. These simple markers can be easily applied and removed, significantly reducing both hardware costs and system complexity while maintaining effective motion capture functionality
3Measurement precision
If wearable sensors are used for motion capture, then attitude determination can be performed, but skilled technicians are required for operation
Solution Approach 1:
The patent implements automated image processing algorithms that automatically detect reflective markers, calculate their three-dimensional positions, and determine virtual object attitudes without requiring manual intervention. The system performs self-calibration and automatic coordinate system transformations, eliminating the need for skilled technicians to operate complex sensor equipment
Data Source
AI summary
Embodiments of this application provide a data processing method and apparatus, an electronic device, and a computer-readable storage medium. The method includes obtaining a target video of a target object; determining three-dimensional attitude angles of target joint points of the target object in each frame of image of the target video, and first three-dimensional coordinates of a first joint point and a second joint point corresponding to each frame of image in a first coordinate system corresponding to a virtual object; determining a displacement deviation of the second joint point; correcting the first three-dimensional coordinates of the first joint point according to the first three-dimensional coordinates and the historical three-dimensional coordinates of the second joint point to obtain a target three-dimensional coordinates of the first joint point; and determining a three-dimensional attitude of the virtual object.