2D-to-3D Rendering With Edge Maps for Real-Time Conversion

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Solution Overview

Problem

Existing technologies for converting 2D images to 3D models are inefficient and time-consuming, particularly in the reconstruction of digital images, as they fail to accurately represent real-world conditions such as cracks and deformations, and they require a more efficient and real-time rendering is needed for real-time rendering of 2D images into 3D models.

Innovation Solution

A real-time image converter, deployed in a portable edge computing device, converts 2D images into 3D models using a GPU for processing units, and a DSP for data storage, and a wireless communication device, with a central system, to enable the use of a camera for image processing, and a camera for image processing, and a camera for image processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional 2D to 3D conversion methods are used, then the conversion can be completed, but the process takes 24 hours to several days and requires large computing resources

Engineering Contradiction:

Improveconversion speedVSAvoidrendering time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent segments the 3D model into multiple depth layers (e.g., foreground, midground, background) and processes each layer separately using different rendering techniques. This allows parallel processing of multiple layers simultaneously, significantly reducing the overall conversion time from days to real-time while maintaining quality.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial rendering by focusing computational resources only on critical regions of the image that require 3D conversion, rather than processing the entire image uniformly. This selective approach reduces the total computing workload and accelerates the conversion process.

Inventive Principle:

Principle #16Partial or excessive action

2Measurement precision

If high-quality 3D reconstruction is achieved, then real-world conditions are accurately represented, but large computing resources and bandwidth are required

Engineering Contradiction:

Improveaccuracy of real-world condition representationVSAvoidcomputing resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent applies different rendering qualities to different regions of the 3D model based on their importance. Critical regions showing real-world conditions (cracks, deformations, deteriorating portions) are rendered with high precision, while less important background regions use lower-resolution rendering. This selective quality approach maintains accuracy where needed while reducing overall computational energy consumption.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent creates simplified 2D representations or low-resolution copies of the 3D model for initial analysis and display, reserving high-computational 3D rendering only for specific regions requiring detailed inspection. This copying strategy reduces bandwidth requirements and computing resource usage while preserving the ability to access high-quality data when needed.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20260004517A1Energy and compute optimization of real time image converter using 2d to 3D rendering

Publication Date: 2026.01.01 DELL PROD LP

AI summary

An image conversion device includes an image capture device and a renderer. The image capture device captures a plurality of two-dimensional (2D) images. The renderer receives the 2D images and renders a 3D model of an object captured in the 2D images. In rendering the 3D model, the renderer first renders a binary edge map of the object, and next models textures for the 3D model.