3D Mesh Texturing for Faster True Orthophoto Image Selection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional mesh texturing techniques face issues in selecting nadir images for generating true orthophotos, leading to inefficient gradient-based image selection and prolonged processing times due to iterative optimization techniques.

Innovation Solution

A mesh texture method that selects a nadir image using geometric information of orientation and position, filtering sky view images into candidate groups and generating true orthophotos based on these images, reducing the need for complex optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional gradient-based image selection method is used, then texture quality is improved, but processing time increases significantly

Engineering Contradiction:

Improvetexture qualityVSAvoidprocessing time

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent pre-calculates and stores geometric information (normals, view directions, position vectors) for all mesh faces and images before the selection process. This preliminary preparation allows the system to quickly compute image-face compatibility scores during texture generation without performing complex iterative optimizations, thus maintaining texture quality while reducing processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the conventional iterative optimization mechanism with a geometric information-based selection mechanism. Instead of using gradient-based iterative algorithms to minimize energy functions, the system uses pre-computed geometric properties (normals, view directions) to directly determine the most suitable images for each mesh face, eliminating the need for time-consuming iterative processes

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Manufacturing precision

If iterative optimization technique is used for image selection, then optimal texture selection is achieved, but device complexity increases

Engineering Contradiction:

Improveimage selection accuracyVSAvoidoptimization process complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent substitutes complex iterative optimization algorithms with a geometric information-based selection process. By pre-computing geometric properties (normals, view directions, position vectors) and using these to directly evaluate image-face compatibility, the system achieves accurate image selection without the computational complexity of iterative optimization techniques

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates simplified copies of the complex optimization process by pre-calculating and storing geometric information that captures the essential relationships between images and mesh faces. These pre-computed geometric representations serve as substitutes for the full optimization process, enabling fast and accurate image selection without repeating complex iterative calculations

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12573125B2Mesh texture method for generating true orthophoto using geometric information and the system thereof

Publication Date: 2026.03.10 HYPERCLOUD CO LTD

AI summary

Disclosed is a mesh texture method and system for generating a true orthophoto based on a nadir image using geometric information of an orientation and a position, including receiving a sky view image and a three-dimensional (3D) mesh; filtering the sky view image into an image candidate group using geometric information of a 3D mesh face and selecting an optimal nadir image available as a texture from the image candidate group; and generating a true orthophoto based on the nadir image.