3D Hologram Generation Using Depth Layer Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for generating three-dimensional (3D) holograms face challenges in reducing computational and storage requirements, particularly as the complexity of 3D spatial objects increases, leading to visual fatigue and limitations in displaying depth and motion parallax.
Innovation Solution
The method employs one-dimensional elemental fringe patterns, using interpolation and pattern duplication to generate point holograms, which reduces the computational burden and allows for fast generation of high-quality 3D holograms by leveraging the Rayleigh-Sommerfeld Equation and Look-Up Tables (LUTs) for efficient pixel value interpolation and pattern duplication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional digital hologram generation methods are used to generate 3D holograms, then the quality and realism of the hologram is improved, but the computational complexity and storage requirements increase significantly
Solution Approach 1:
The patent segments the complex 3D object into multiple depth layers, processing each layer independently. This divides the large-scale computational problem into smaller, more manageable sub-problems, reducing the overall computational complexity while maintaining hologram quality
Solution Approach 2:
The patent transforms the traditional 2D hologram generation approach into a 3D layered processing method by introducing depth information. This dimensional change allows for more efficient computation by exploiting the depth structure of the object, reducing computational requirements while preserving quality
2Manufacturing precision
If the number of 3D points in the spatial object increases to improve object detail, then the manufacturing precision of the hologram is improved, but the amount of calculation increases
Solution Approach 1:
By segmenting the object into depth layers, the patent reduces the calculation time for each layer while maintaining overall object detail. Each layer contains fewer points than the complete object, allowing faster processing without sacrificing precision
Solution Approach 2:
The patent performs preliminary processing by pre-calculating and storing depth layer information and point cloud data before hologram generation. This preliminary action organizes the data structure to enable faster subsequent processing, reducing calculation time while preserving detail
3Loss of information
If conventional hologram generation methods are used, then complete hologram information is obtained, but visual fatigue occurs and depth display is limited
Solution Approach 1:
The patent introduces depth layering to create a more natural 3D representation that reduces visual fatigue. By properly encoding depth information across multiple layers, the hologram provides more accurate depth perception, making it more comfortable for viewers while maintaining information completeness
4Loss of information
If traditional methods are used to generate point holograms for all 3D points, then the completeness of the hologram is improved, but the storage requirements increase
Solution Approach 1:
The patent segments the complete hologram into depth layer components, allowing for more efficient storage. Each layer can be stored and processed independently, reducing the memory footprint required during generation while preserving the completeness of the final hologram
Solution Approach 2:
The patent performs preliminary organization of point cloud data into depth layers before processing. This preliminary structuring enables more efficient storage by eliminating redundant data and organizing information in a compact format that reduces storage requirements
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the rapid and efficient generation of high-quality 3D holograms with reduced computational and storage demands, minimizing visual fatigue and improving the display of depth and motion parallax, while maintaining image quality.
Implementation Method 1
an elemental fringe pattern generating unit generates an elemental fringe pattern of a three-dimensional point by using a Rayleigh-Sommerfeld Equation
Implementation Method 2
a point hologram generating unit generates a point hologram by using interpolation based on a pixel value of a reference pixel included in the elemental fringe pattern
Implementation Method 3
a hologram pattern generating unit generates a hologram pattern by accumulating point holograms corresponding to all three-dimensional points included in the three-dimensional spatial object
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method and apparatus for fast generation of a hologram image. The method includes generating an elemental fringe pattern (210) of a three-dimensional (3D) point (204-206) included in a 3D spatial object (202), generating a point hologram (407) based on the elemental fringe pattern (210), and generating a 3D hologram using a hologram pattern for each depth layer (203), generated using the point hologram (407).