Pose-Driven Virtual Effects With Real-Time Skeletal Gesture Control
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Solution Overview
Problem
Existing video effects are typically added post-processing, limiting real-time interaction and personalization based on user movements.
Innovation Solution
A skeletal pose system that uses augmented reality to detect user movements and apply virtual effects in real-time, allowing users to control effects through hand gestures and joint positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video effects are added post-processing, then manufacturing precision is improved, but productivity deteriorates
Solution Approach 1:
The system performs pose detection and effect selection in advance during video capture, so that when video rendering is needed, effects are already determined and ready to be applied automatically based on detected poses, eliminating the need for time-consuming post-processing review and selection
Solution Approach 2:
The system automatically applies effects based on detected user poses without requiring manual intervention or post-processing review, making the effect application process self-service and significantly reducing production time
2Adaptability or versatility
If post-processing effects are used, then adaptability is improved, but loss of time deteriorates
Solution Approach 1:
The system pre-detects user poses and pre-selects appropriate effects during video capture, so that when rendering is needed, effects are already determined and ready to be applied automatically, eliminating the need for time-consuming post-processing review and selection
Solution Approach 2:
The system provides real-time visual feedback during video capture by detecting user poses and automatically selecting and applying appropriate effects, allowing users to see effects applied immediately and adjust their poses or effect selections in real-time rather than waiting for post-processing
Data Source
AI summary
Systems and methods herein describe a method for capturing a video in real-time by an image capture device. The system provides a plurality of visual pose hints, identifies first pose information in the video while capturing the video, applies a first series of virtual effects to the video, identifies second pose information, and applies a second series of virtual effects to the video, the second series of virtual effects based on the first series of virtual effects.