Multi-Dimensional Encoder for Lossless Frequency-Line Data Access
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Solution Overview
Problem
Loading, processing, and interacting with high-resolution point clouds and extremely high-resolution 2D images overwhelm computer systems, leading to slow performance, unresponsiveness, or crashes due to memory and processing resource limitations.
Innovation Solution
Implementing a multi-dimensional encoder (MDE) that performs lossless line fit data compression by flattening multi-dimensional data into a single-dimensional array, converting to a frequency domain, and generating lines to represent the data, allowing for on-demand access and reduced memory overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If high-resolution point clouds and multi-dimensional data are loaded and processed in memory, then data access speed is improved, but memory resource consumption increases causing system slowdowns or crashes
Solution Approach 1:
The patent segments multi-dimensional data into frequency components through Fourier transformation, organizing data by frequency ranges rather than spatial location. This segmentation allows the system to load and process only specific frequency bands needed for current operations, reducing memory consumption while maintaining fast access to relevant data portions.
Solution Approach 2:
The patent transforms spatial domain data into frequency domain representation, adding a frequency dimension to data organization. This dimensional transformation enables efficient memory management by allowing selective loading of frequency components, thus improving data access speed for specific frequency ranges while reducing overall memory resource consumption.
2Reliability
If all multi-dimensional data points are loaded into memory for processing, then complete data availability is improved, but processing time increases causing unresponsiveness
Solution Approach 1:
The patent performs preliminary Fourier transformation to convert spatial data into frequency domain representation before processing. This preliminary action organizes data by frequency components, enabling subsequent operations to work with pre-organized frequency bands rather than raw spatial data, thus reducing processing time while maintaining complete data availability through lossless compression.
Solution Approach 2:
The patent changes the representation parameters of data from spatial coordinates to frequency domain values. This parameter transformation allows the system to maintain complete data information through reversible transformation while enabling faster processing by operating on frequency components that can be selectively loaded and manipulated.
3Manufacturing precision
If high-resolution data is processed to maintain quality, then output quality is improved, but system resource usage increases causing crashes
Solution Approach 1:
The patent applies local quality processing by working with specific frequency components rather than entire datasets. Different frequency bands can be processed with appropriate algorithms and resource allocation, allowing high-quality output where needed while reducing system resource usage by not processing all frequency components simultaneously with maximum complexity.
Data Source
AI summary
A multi-dimensional encoder (“MDE”) receives a file with different data points. Each data point is defined with uncompressed multi-dimensional data. The multi-dimensional data may include multiple elements for defining a data point position (e.g., a multi-dimensional position including x, y, and/or z coordinates), color values of the data point (e.g., red, green, and blue), and/or other data point attributes. The MDE assigns an index to each data point or each data point element, and maps the data points to a frequency domain based on a frequency with which values occur in two or more of the elements (e.g., multiple dimensions). The MDE generates a line that represents the frequency, and provides a compressed file format to a requesting device that includes the line and different sets of indices that are associated with different frequencies represented by the line.