Point Cloud Viewport Rendering with Auxiliary Metadata
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Solution Overview
Problem
Existing technologies face challenges in providing diverse presentation forms for point cloud viewports, particularly in rich implementation scenarios, failing to meet business desirables for rendering and presentation.
Innovation Solution
A method and apparatus for presenting a point cloud viewport that involves acquiring a point cloud file containing information and auxiliary data, parsing this data to extract viewport information and auxiliary content, and then presenting the viewport with corresponding description content based on the auxiliary information, allowing for varied presentation forms tailored to different implementation scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If spatial position information of point cloud viewport is used for rendering, then the area of point cloud viewport can be met, but diverse presentation forms become difficult to realize
Solution Approach 1:
The patent applies preliminary action by embedding auxiliary information about viewport types and description content into the point cloud file during the encoding stage. This allows the decoding and presentation system to automatically recognize and adapt to different viewport types (such as spherical, cubic, or custom shapes) without requiring complex real-time analysis, thereby enabling diverse presentation forms while keeping the system relatively simple.
2Adaptability or versatility
If auxiliary information is added to point cloud file, then diverse presentation forms can be realized, but file structure complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the auxiliary information into distinct, organized components within the point cloud file structure. Specifically, the auxiliary information is segmented into viewport type identification data and description content data, each with defined formats and positions. This structured segmentation allows for easy parsing and processing while maintaining presentation flexibility across different scenarios.
Data Source
AI summary
A method for presenting a point cloud viewport includes: acquiring a point cloud file, the point cloud file including information of a point cloud viewport and auxiliary information associated with the point cloud viewport, the auxiliary information corresponding to a type of the point cloud viewport; parsing the point cloud file to obtain the information of the point cloud viewport and the auxiliary information; and presenting the point cloud viewport according to the information of the point cloud viewport, and presenting corresponding description content in the point cloud viewport according to the auxiliary information.