Hologram Image Generation Using Depth Map Segmentation

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Solution Overview

Problem

Generating hologram images from 3D models in point cloud format requires significant computation, leading to long processing times.

Innovation Solution

A hologram image generating system that includes a preprocessor to convert point cloud data into depth map image data, a depth map hologram processor to generate depth map hologram data, and a hologram generating device to produce hologram images, utilizing techniques like Fast Fourier Transform and spatial light modulators to expedite the process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If hologram images are generated directly from point cloud data, then image quality is maintained, but computation time increases significantly

Engineering Contradiction:

Improveimage qualityVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system segments the point cloud data processing by introducing an intermediate depth map representation. The preprocessor converts point cloud data into depth map image data, which serves as a simplified intermediate format. This segmentation reduces the computational complexity of subsequent hologram processing while preserving the essential depth information needed for high-quality hologram generation.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The depth map image data acts as an intermediary between the original point cloud data and the final hologram image. By introducing this intermediate representation, the system avoids direct complex computations on point cloud data while maintaining the necessary depth information for accurate hologram generation, thus reducing processing time without sacrificing image quality.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If complex computation is performed on point cloud data, then accurate hologram images are produced, but processing speed decreases

Engineering Contradiction:

Improvehologram accuracyVSAvoidprocessing speed

Core Design Contradiction:

ReliabilityVSSpeed

Solution Approach 1:

The preprocessor performs preliminary conversion of point cloud data into depth map image data before the main hologram processing occurs. This preliminary action organizes and simplifies the data structure in advance, enabling faster and more efficient computation during the hologram generation phase while maintaining accuracy.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The processing pipeline is segmented into distinct stages: preprocessor for data conversion, depth map hologram processor for intermediate processing, and hologram generating device for final output. This segmentation allows each component to optimize its operations, improving overall processing speed while maintaining hologram accuracy through specialized processing at each stage.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20240369969A1Hologram image generating system and operation method thereof

Publication Date: 2024.11.07 ELECTRONICS & TELECOMM RES INST

AI summary

Disclosed is a hologram image generating system, which includes a preprocessor that receives point cloud data to convert the received point cloud data into depth map image data, a depth map hologram processor that generates depth map hologram data based on the depth map image data, and a hologram generating device that generates a hologram image based on the depth map hologram data.