Dynamic 3D Environment Rendering with Auxiliary Data Adjustment
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Solution Overview
Problem
Conventional virtual reality systems lack the ability to dynamically adjust and enhance three-dimensional environments, leading to limited immersion and accuracy, especially in scenes with poor depth information or reflective objects, which affects the user's experience and object recognition.
Innovation Solution
The system generates and displays a dynamically modified image of a three-dimensional environment by adjusting auxiliary data relative to the viewing point, integrating color-coded layers and depth images to improve object recognition and immersion, even in challenging environments, and allows for real-time updates across connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional fixed two-dimensional format is used to display three-dimensional environment, then device complexity is reduced, but immersion and accuracy of the virtual reality experience deteriorates
Solution Approach 1:
The patent transitions from fixed two-dimensional display to dynamic three-dimensional environment rendering, allowing users to view scenes from multiple angles and depths. The system generates modified images by adjusting auxiliary data relative to viewing points, creating immersive 3D virtual reality experiences that preserve accuracy while enhancing engagement.
Solution Approach 2:
The display format becomes dynamic rather than static. The system continuously adjusts auxiliary data (such as depth information, color-coded layers, and spatial parameters) based on the user's viewing point and camera position, enabling real-time adaptation of the three-dimensional environment to maintain immersion and accuracy.
2Measurement precision
If auxiliary data is adjusted relative to viewing point to enhance object recognition, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system applies different processing and auxiliary data adjustments to different regions of the three-dimensional environment based on their importance and distance from the viewing point. Critical objects receive enhanced auxiliary data adjustment for precise recognition, while less important areas use standard processing, optimizing the balance between accuracy and complexity.
Solution Approach 2:
The system dynamically changes parameters such as depth information, color-coded layers, and spatial coordinates of auxiliary data based on the viewing point and camera position. These parameter adjustments enhance object recognition precision by providing context-specific information while managing system complexity through selective application.
3Reliability
If dynamic modification of images with auxiliary data is implemented, then immersion and accuracy improve, but loss of time in processing and displaying increases
Solution Approach 1:
The system performs preliminary calculations and preparations for auxiliary data adjustment based on predicted viewing points and camera positions. By pre-processing certain transformations and organizing auxiliary data structures in advance, the system reduces real-time processing requirements while maintaining immersion and accuracy in the dynamic three-dimensional environment.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for imaging scenes of three-dimensional (3-D) environments using a virtual reality system. A request to display a target three-dimensional environment in a virtual reality system is received. An image of a scene of the target three-dimensional environment is generated. The image of the scene includes features distributed within the scene of the target three-dimensional environment according to a distance from a viewing point of the scene of the target three-dimensional environment. A request to display a modified image of the scene of the target three-dimensional environment is received. The modified image of the scene of the target three-dimensional environment is generated by adding auxiliary data associated with the plurality of features relative to the distance from the viewing point of the scene of the target three-dimensional environment to each of the plurality of features.