Multiscale Data System for Adaptive 3D Object Rendering
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Solution Overview
Problem
Existing systems for rendering scenes in applications like extended reality and video games inefficiently use processing resources and bandwidth by treating all objects equally, failing to dynamically adjust quality based on distance and significance from a virtual vantage point.
Innovation Solution
The implementation of a multiscale data system that dynamically scales and combines surface data representations of objects at different quality levels based on their distance and significance from a virtual vantage point, using techniques like upsampling and downsampling, and allocates resources accordingly within a tiled representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all objects are treated equally in rendering, then simplicity of processing is maintained, but processing resources and bandwidth are wasted on distant objects that require lower quality
Solution Approach 1:
The patent applies local quality by differentiating the rendering quality of objects based on their distance from the virtual camera. Objects closer to the camera receive high-quality rendering with detailed surface data, while objects farther away receive lower-quality rendering. This spatially adaptive quality adjustment optimizes processing resources by avoiding unnecessary high-quality rendering of distant objects that contribute less to the overall visual quality.
Solution Approach 2:
The system dynamically adjusts the quality level of object representations based on their distance from the virtual camera during runtime. As objects move closer or farther from the camera, the system transitions between different quality levels of surface data representation. This dynamic adaptation allows the system to respond to changing scene requirements and optimize resource usage in real-time.
2Manufacturing precision
If high quality representations are provided for all objects, then visual quality is maintained, but bandwidth and processing resources are excessive
Solution Approach 1:
The patent implements local quality by providing high-quality surface data representations only for objects that are spatially relevant (closer to the virtual camera), while using lower-quality representations for distant objects. This selective quality allocation reduces the total data volume transmitted and processed, as distant objects contribute less to the perceived visual quality of the scene.
Solution Approach 2:
The system changes the quality parameter of object representations based on their distance from the virtual camera. By adjusting parameters such as surface data resolution, texture detail, and geometric precision according to spatial distance, the system optimizes the balance between visual quality and data efficiency. This parameter adaptation ensures that computational and bandwidth resources are allocated proportionally to the visual importance of each object.
3Productivity
If dynamic quality adjustment is implemented, then resource optimization is achieved, but system complexity increases
Solution Approach 1:
The system employs feedback mechanisms to continuously monitor object distance from the virtual camera and adjust rendering quality accordingly. Distance information serves as feedback that triggers quality level transitions, creating a closed-loop system that automatically adapts to scene changes. This feedback-driven approach simplifies the control logic by using straightforward distance threshold comparisons rather than complex decision-making algorithms.
Data Source
AI summary
An illustrative multiscale data system determines a first distance between a first object in a scene and a virtual vantage point at the scene. The multiscale data system also determines a second distance between a second object in the scene and the virtual vantage point. In an example in which the second distance is greater than the first distance, the multiscale data system generates, based on the first and second distances, a tiled representation associated with the virtual vantage point. The tiled representation in this example includes a first representation of the first object rendered at a first quality level and a second representation of the second object rendered at a second quality level lower than the first quality level. Corresponding methods and systems are also disclosed.