Physical-Constraint Avatar Rendering for Realistic Augmented Reality
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Solution Overview
Problem
Existing augmented reality environments struggle to realistically render avatar representations in diverse physical locations due to the absence of effective methods for integrating physical constraints, leading to unrealistic or obstructed renderings.
Innovation Solution
A method and system that utilize SLAM and computer vision techniques to identify physical objects, combined with artificial neural networks (ANNs) and convolutional neural networks (CNNs) to determine physical constraints, enabling the rendering of avatars in accordance with the presence and layout of objects, ensuring realistic interactions across different locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If avatar representations are rendered in augmented reality environments without considering physical constraints, then the rendering process is simple and fast, but the avatars appear unrealistic or obstructed when physical objects are present
Solution Approach 1:
The system performs preliminary actions by scanning the physical environment before avatar rendering to identify objects and determine physical constraints. This advance preparation allows the avatar rendering to be guided by pre-acquired spatial information about the environment, ensuring realistic positioning without obstructing physical objects.
Solution Approach 2:
The patent introduces an intermediary layer between the avatar rendering system and the physical environment. This intermediary consists of the physical constraint determination module that mediates by analyzing the relationship between avatars and physical objects, using this information to adjust avatar positioning and orientation to maintain realism.
2Manufacturing precision
If the system scans and analyzes the physical environment to determine constraints, then avatar positioning becomes realistic, but the system complexity and processing time increase
Solution Approach 1:
The environment analysis system is segmented into distinct functional modules: a scanning module to capture physical environment data, a constraint determination module to analyze object relationships, and a rendering module to position avatars. This segmentation allows each module to specialize in specific tasks, improving precision while managing overall system complexity through modular architecture.
3Adaptability or versatility
If physical constraints are integrated into avatar rendering, then interactions become sensible and realistic, but the rendering process becomes more complex and slower
Solution Approach 1:
The system implements dynamic adaptability by continuously adjusting avatar positioning and orientation based on real-time detection of physical constraints. The rendering process dynamically responds to the physical environment rather than using fixed templates, allowing avatars to adapt their poses and positions to avoid obstacles and interact sensibly with the surroundings.
Data Source
AI summary
A method and system is disclosed which enables avatars to be rendered in a realistic manner at different physical locations.