3D Data Encoding with Random Access and Selective Transmission
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Solution Overview
Problem
Current three-dimensional data creation methods face challenges in reducing data transmission amounts and simplifying device structures, particularly in providing random access functionality for encoded three-dimensional data.
Innovation Solution
A method for encoding and decoding three-dimensional data that divides data into random access units, allowing for efficient encoding and decoding, and selectively transmitting data based on feature amounts and intended use, using techniques such as voxel-based encoding and sparse world generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If three-dimensional data is transmitted in full detail, then data completeness is improved, but data transmission amount increases
Solution Approach 1:
The patent extracts only the essential features and characteristics from the complete three-dimensional data, transmitting only these extracted features rather than the full data set. This reduces transmission amount while preserving the necessary information for the intended application.
Solution Approach 2:
The patent applies different levels of data detail to different regions or aspects of the three-dimensional data based on their importance. Critical areas are represented with higher fidelity while less critical areas use compressed representations, optimizing the balance between information retention and transmission efficiency.
2Productivity
If complex encoding structures are used, then encoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent divides the three-dimensional data into discrete units or segments that can be independently processed and encoded. This segmentation enables more efficient encoding operations while keeping the processing units themselves relatively simple in structure.
Data Source
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AI summary
The present invention relates to a client device with a first sensor that obtains first sensor data, a second sensor that obtains second sensor data and a processor. The processor performs generating combined data including three-dimensional coordinate values of points and color information of the points, whereby the three-dimensional coordinate values being obtained from the first sensor data and the color information being obtained from the second sensor data. Further, the processor performs estimating a location of the client device using the combined data and three-dimensional map data.