AR Virtual Object Data Acquisition via Exposed Component Detection
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Solution Overview
Problem
Existing methods for generating three-dimensional appearance data for augmented reality are inefficient, requiring manual creation and resulting in low data generation efficiency for virtual objects.
Innovation Solution
A method and apparatus for acquiring virtual object data in augmented reality by identifying components and directions from three-dimensional image data, using virtual light sources and weight settings to determine exposed components and main directions, and reducing data to create lightweight virtual object data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual creation and generation of three-dimensional appearance data is used, then visual quality can be maintained, but data generation efficiency is low
Solution Approach 1:
The patent uses image data of real objects as a basis to generate three-dimensional appearance data for virtual objects. The system extracts visual information from two-dimensional images and converts it into three-dimensional representations, thereby avoiding manual creation while maintaining visual quality. This copying approach allows automated generation of virtual object data from real-world images.
Solution Approach 2:
The patent replaces manual mechanical creation processes with automated computational methods. Instead of manually modeling and texturing objects, the system uses image processing algorithms, machine learning models, and automated rendering techniques to generate three-dimensional appearance data, significantly improving productivity while reducing time investment.
2Productivity
If all three-dimensional image data is processed, then completeness is maintained, but data processing complexity and time increase
Solution Approach 1:
The patent extracts only the necessary visual information from three-dimensional image data to create virtual object data. Instead of processing every detail and component, the system identifies and extracts key visual features, surfaces, and geometric data that are essential for representing the object's appearance in augmented reality, thereby reducing processing complexity while maintaining data completeness for the intended application.
Solution Approach 2:
The patent applies different processing levels to different parts of the three-dimensional data based on their importance. Critical visual surfaces and exposed components receive detailed processing, while internal or less visible components are simplified or excluded. This localized approach optimizes data processing by focusing computational resources on areas that most impact the visual quality of the virtual object.
Data Source
AI summary
Provided are a method and apparatus for acquiring virtual object data in augmented reality, the method including identifying at least one exposed component from three-dimensional image data corresponding to a target device, the exposed component being exposed to a view from outside of the target device, identifying a type of the target device from the three-dimensional image data corresponding to the target device, determining at least one main direction of the target device based on the type of the target device, and acquiring virtual object data for representing an appearance of the target device based on the at least one exposed component and at least one main direction.