VR Headset Real-Time 3D Object Reproduction via Overlapping Image Gatherers
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Solution Overview
Problem
Current virtual reality technologies face challenges in interacting with objects in a virtual world, limiting their adoption in consumer markets due to difficulties in accurately reproducing and tracking objects in real-time within 3D scenes.
Innovation Solution
A method involving at least two image gatherers that simultaneously collect video stream data at overlapping angles to identify and process the shape and motion of objects in real-time, creating a 3D image for realistic display within a 3D scene, without the need for pre-redrawing objects from a database, using image gatherers with overlapping field angles to achieve depth of field and enhance user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image gatherers with overlapping field angles are used to capture video stream data at different angles, then the measurement precision and depth of field are improved, but the device complexity increases
Solution Approach 1:
The system divides the object capture task into multiple segments by using several image gatherers positioned at different angles. Each image gatherer captures a specific portion of the object from its designated angle, and the processing unit integrates these segmented views to reconstruct the complete 3D shape, thereby improving measurement precision without requiring a single complex imaging system
Solution Approach 2:
The image gatherers are designed with overlapping field angles that serve multiple functions: capturing object shape data, determining motion trajectories, and providing depth information. This multi-functionality allows the same hardware configuration to address multiple measurement requirements simultaneously, improving precision without proportionally increasing device complexity
2Productivity
If real-time processing of video stream data is performed to identify object shape and motion trajectory, then the productivity and interaction responsiveness are improved, but the use of energy increases
Solution Approach 1:
The system performs preliminary actions by pre-establishing the spatial relationships and field angle overlaps between multiple image gatherers before operation. This preliminary configuration allows the processing unit to efficiently correlate data from different angles without requiring complex real-time calculations, thereby maintaining high productivity while reducing energy consumption during actual object tracking
Solution Approach 2:
Instead of processing all raw video data in real-time, the system creates simplified representations or copies of the essential shape and motion information from multiple video streams. The processing unit works with these condensed data copies rather than the full-resolution original streams, significantly reducing computational energy requirements while maintaining the ability to reproduce objects in real-time
3Measurement precision
If overlapping field angles are used to achieve depth of field, then the measurement precision is improved, but the area covered by each individual image gatherer decreases
Solution Approach 1:
The system merges the coverage areas of multiple image gatherers with overlapping field angles to create a comprehensive view of the object. While each individual gatherer has a limited field angle, their combined and overlapping coverage areas provide both depth information (through the overlap) and complete object coverage (through the merged total area), resolving the contradiction between precision and coverage
Data Source
AI summary
The present disclosure discloses a method for reproducing an object in a 3D scene and a virtual reality head-mounted device. The method comprises: simultaneously gathering at least two channels of video stream data in real time at different angles for an object to be displayed by using at least two image gatherers, wherein first field angles of the image gatherers at least partially overlap in space, and the first field angles are a horizontal field angle, a vertical field angle or a diagonal field angle; identifying out a shape of the object varying in real time from the at least two channels of video stream data; according to the shape of the object varying in real time, obtaining a corresponding object motion trajectory; and processing the shape of the object varying in real time and the corresponding object motion trajectory into a 3D image and in real time superposition-displaying the 3D image into the 3D scene. The technical solutions of the present disclosure can reproduce the object in the 3D scene, and achieve the purpose of displaying the realistic object in the 3D scene.